AI & ChatGPT in Australia

Learn to develop predictive models and uncover patterns in data using machine learning algorithms.

Understand the integration of OpenAI’s ChatGPT for automating conversations and generating content.

Learn how to utilize ChatGPT for enhancing workflows, creating intelligent chatbots, and automating text generation.

Discover how to generate creative images from textual descriptions using OpenAI’s DALL-E model.

Dive into neural networks to build models for image, speech, and text processing.

Gain comprehensive knowledge of data science concepts, from foundational techniques to advanced AI applications.

Explore the principles, methods, and applications of AI to solve complex real-world problems.

Understand how predictive AI models can forecast outcomes and trends for strategic decisions.

Explore Midjourney to design and generate high-quality images using AI-driven tools.

Develop skills in image processing and analysis using the OpenCV library for various applications.

Master techniques for identifying patterns for applications in AI, robotics, and image recognition.

Master the art of crafting effective prompts for AI models to achieve precise and impactful results.

Explore the architecture and functioning of deep neural networks for high-dimensional data analysis.

Learn to create stunning visual designs and digital content using Adobe Firefly AI-powered tools.

Gain hands-on experience in building deep learning models using TensorFlow’s flexible framework.

Learn the basics of reinforcement learning and how agents can make decisions through trial and error.

Master Keras to build and train neural networks with a user-friendly, high-level API.

The course focuses on leveraging AI and machine learning to enhance application capabilities.

This course provides an in-depth understanding of autonomous AI agents, their architecture, and their applications in real-world scenarios.

This course focuses on the techniques, tools, and frameworks used to develop and implement speech recognition systems.

This course provides a comprehensive introduction to Caffe, an efficient deep learning framework widely used for image classification and CNNs.

This course provides an introduction to H2O.ai, an open-source, scalable, and distributed machine learning platform.

This course is designed to introduce participants to the key concepts, algorithms, and techniques used in unsupervised machine learning.

Participants will learn how to reduce latency and optimize memory usage

Participants will learn how to automate deep learning model selection, architecture search, and hyperparameter tuning using Auto-Keras.

This course is designed to provide participants with a comprehensive understanding of cognitive systems and their applications in real-world scenarios.

Participants will explore key concepts, including natural language processing (NLP), machine learning algorithms, and sentiment classification models.

Participants will learn the fundamental concepts of tensors, automatic differentiation, neural network construction, and optimization.

This course equips with the hands-on skills required to work with text and language data.

The course focuses on how to process, analyze images using modern computer vision techniques.

Participants will learn how to use AutoML tools to automate feature engineering.

The course provides an understanding of managing the complete lifecycle of machine learning models.

The course focuses on the concepts of machine learning, deep learning and AI system architecture.

Participants will learn how to build, train, optimize, and deploy deep learning models using Torch.

This course provides an introduction to DeepLearning4J (DL4J), an open-source deep learning framework for Java and Scala

This course is designed to equip participants with the knowledge and skills to develop, deploy, and manage AI models on edge devices.

This course provides a comprehensive introduction to Ollama, covering local deployment, model management, fine-tuning, and integration of LLMs for AI applications.

This course provides an in-depth understanding of AGI concepts, challenges, and advancements.

Participants will explore the lifecycle of machine learning models, including deployment, monitoring, scaling, and governance.

This course provides a comprehensive introduction to Keras, a high-level deep learning API that runs on top of TensorFlow.

This course is designed to provide an understanding of AI systems that combine multiple data types.

This course provides an in-depth understanding of using Leonardo AI for creating AI-driven solutions.

This course provides the techniques and tools used for face recognition in computer vision.

This course is designed to provide participants with a thorough understanding of supervised learning techniques used in machine learning.

This course provides a comprehensive understanding of deploying, managing, and scaling machine learning.

Participants will learn how to use DeepSeek for NLP tasks, integrate it with applications, and optimize model performance.

This course agenda is ideal for professionals, developers, analysts, and AI enthusiasts seeking a structured understanding of generative AI technologies and applications.

Participants will learn about the design, implementation, and operation of AI-powered physical systems.

Participants will gain hands-on experience in training, evaluating, and deploying NMT and speech recognition models.

The course covers the fundamentals of predictive modeling, machine learning techniques, and AI frameworks to forecast outcomes using data.

Participants will explore architectural integration, prompt engineering, customization with fine-tuning or adapters (LoRA/QLoRA), deployment in cloud/on-prem environments.

This course provides participants with the knowledge and hands-on skills required to design, develop, and deploy intelligent agents using Quark, a modular, lightweight AI framework for enterprise applications.

Participants will gain practical experience in building NLP applications using Qwen models, including text classification, summarization, translation, question answering, and chatbots.

This course provides in-depth theoretical foundations and hands-on implementation of generative models across text, image, and audio modalities.

This course empowers managers and decision-makers with foundational knowledge of Artificial Intelligence (AI) and its strategic application in business.

This program focuses on how AI technologies like ChatGPT, DALL·E, Copilot, and other tools can transform operations, enhance decision-making, and drive innovation in managerial functions.

Participants will learn how to leverage Quark for automating support workflows, generating dynamic responses, integrating with CRMs and ticketing systems, and enhancing customer satisfaction.

The training emphasizes real-world applications of AI, covering how to identify opportunities, build basic models, integrate AI tools into workflows, and evaluate outcomes for continuous improvement.

Participants will explore prompt engineering, document summarization, data interpretation, and scenario analysis—specifically tailored to finance use cases.

Participants will learn how to process data, build predictive models, evaluate their performance, and deploy machine learning applications using widely adopted Python libraries.

Participants will learn how to leverage Copilot to automate tasks, generate content, analyze data, and improve collaboration and decision-making across business processes.

Participants will explore how Generative AI can enhance product design, predictive maintenance, quality control, and supply chain optimization through practical examples and guided labs.

Participants will explore how to use AI prompts to generate slide content, titles, talking points, and visuals, improving storytelling and productivity in professional presentations.

Participants will learn how to harness the power of generative AI to automate tasks, generate insightful content, assist in client communications, and more—tailored specifically for the banking domain.

. Participants will gain hands-on experience in using ChatGPT prompts and workflows to enhance research speed, depth, and creativity—ideal for marketing analysts, business strategists, and research professionals.

This course offers a practical and hands-on introduction to CrewAI focused specifically on workflow automation

This course is designed to provide participants with foundational knowledge and hands-on skills to effectively use CrewAI for multi-agent AI applications.

Participants will explore how to create dynamic, collaborative agent teams capable of solving complex, distributed problems.

This course is designed to equip participants with the knowledge and skills to deploy CrewAI for automating enterprise-level workflows.

Participants will learn how to automate document creation, analyze data, design presentations, and write content efficiently using AI assistance.

Participants will learn to build inspection solutions, configure vision systems, automate defect detection, and integrate inspections into industrial workflows.

The program covers AI fundamentals, prompt engineering, real-world executive use cases, and ethical considerations.

This course dives deep into how to design, build, and manage CrewAI agent workflows that meet security, privacy, and compliance standards

Participants will learn the full lifecycle of business agent development — from agent goal setting and task creation to workflow orchestration and integration with business tools.

Participants will learn how to analyze, visualize, and model data, and apply machine learning algorithms to solve real-world problems.

Participants will explore various tools and templates offered by InVideo to produce professional-grade videos for marketing, education, presentations, and social media.

This course explores the practical use of ChatGPT in all phases of product development—from idea generation to market launch.

This course empowers participants to streamline the creation of visually engaging and content-rich PowerPoint presentations using DeepSeek.

Participants will gain a deep understanding of how AI can be applied to enhance sensing, control, decision-making, and autonomy in mechanical and electronic systems.

This course is designed to provide participants with a solid foundation in data science using R programming and Tableau for data visualization.

Participants will learn how agents learn optimal behavior through interaction with environments and rewards.

This course introduces business professionals to the emerging world of AI agents—autonomous software tools powered by artificial intelligence capable of performing complex tasks with minimal human intervention.

This course introduces healthcare professionals, data scientists, and technologists to the transformative role of Artificial Intelligence (AI) in the healthcare sector.

Participants will explore tools and techniques that integrate AI into document management, scheduling, communication, data analysis, and more, with real-world business use cases tailored to administrative contexts.

"Zero to AI" is an introductory course designed to guide learners from basic digital fluency to a working understanding of Artificial Intelligence concepts and practical tools.

The training focuses on crafting precise, structured, and goal-oriented prompts, including use cases in business, development, and content generation.

This course empowers experienced developers and DevOps engineers to fully harness the capabilities of GitHub Copilot.

The course focuses on mastering prompt formats for tasks such as document analysis, visual generation, speech-to-text transcription, and multi-modal chaining.

The program focuses on crafting prompts for real-world finance tasks and ensuring accuracy, consistency, and compliance in outputs.

Participants will explore the fundamentals of natural language processing (NLP), prompting techniques, fine-tuning concepts, and deployment.

Participants will learn to use Copilot to streamline productivity, enhance content creation, analyze data, summarize communications, and automate routine workflows.

This course introduces how Large Language Models (LLMs) can enhance and support predictive analytics tasks.

This Course covers how LLMs can enhance data analysis, generate insights, automate reporting, and support natural language querying across BI workflows.

The course blends conceptual understanding with practical insights through case studies and tool demonstrations.

Participants will gain confidence in using prompts to control AI output across multiple platforms such as ChatGPT, Claude, GitHub Copilot, and Midjourney.

The course is tailored for non-technical users and focuses on immediate, practical application of AI in sales workflows.

This course introduces data analysts, business intelligence professionals, and data-driven decision-makers to Google Gemini AI, focusing on how it can be used to analyze, summarize, and interpret data.

Participants will learn how to prompt Gemini for various formats and explore its multimodal capabilities.

This training introduces participants to Google Gemini, Google’s advanced multimodal AI model.

This course is designed to introduce learners to Kaggle, a leading platform for data science competitions and datasets.

This course is designed for professionals, teams, and managers seeking to enhance their productivity, organization, and decision-making.

This training provides professionals with foundational and practical knowledge of AI security, risk, and compliance.

Participants will learn how to collect, process, analyze, correlate, and act upon operational data using a modular, flexible pipeline powered by open tools.

This course enables participants to master InVideo to create engaging and professional videos for social media marketing.

This training provides hands-on and theoretical knowledge for identifying and defending against security threats and attacks targeting AI/ML models.

This Course focuses on using AI tools for creating blogs, marketing copy, social media content and product descriptions.

Participants will learn practical ways to integrate LLMs into cybersecurity workflows.

This training program focuses on integrating Google AI Studio with various tools, platforms, and workflows.

This hands-on training introduces participants to Google AI Studio, a powerful web-based platform for working with Gemini models (formerly Bard).

This course provides hands-on training for understanding, using, and managing Grok AI, the chatbot developed by xAI (founded by Elon Musk).

This Training introduces participants to AutoGPT, an autonomous AI agent built on GPT that can perform multi-step tasks with minimal human input.

Participants will explore how AI transforms spoken language into text, understand the architecture behind speech recognition systems, and build hands-on applications using popular tools like Python, OpenAI Whisper, and third-party APIs.

Participants will learn how LLMs like BERT, RoBERTa, and GPT can be fine-tuned or prompted for sentiment tasks.

This training is designed specifically for Python developers to help them efficiently integrate and use Tabnine, an AI-powered coding assistant.

This course introduces participants to Perplexity AI, a powerful AI-powered research and question-answering tool.

This course is designed to provide developers and technical professionals with practical knowledge and hands-on experience using DeepSeek Coder.

Participants will learn about MLOps pipelines, LLMOps principles, and observability techniques to ensure reliability, traceability, and performance of AI systems.

This course teaches participants how to build intelligent IT operations using Prometheus and Grafana, enhanced with machine learning capabilities.

The focus is on real-world use cases, implementation challenges, and how to begin or accelerate AI adoption in business operations.

This course introduces participants to AutoGen, an advanced framework for building multi-agent conversational applications.

This training introduces participants to the foundations and applications of Audio AI, focusing on audio processing, sound classification and speech recognition.

This training is designed to help developers, team leads, and engineering managers understand and effectively use Tabnine.

The training is designed to teach creators, marketers, and business professionals how to use Grok AI.

This course focuses on using Google AI Studio to design, prototype, and automate workflows using Gemini models.

Participants will learn how Random Forests work, when to use them, and how to apply them effectively for classification, regression, and feature selection tasks.

This course is designed to help professionals and teams understand how to integrate Grok AI into everyday workflows to boost productivity and improve content creation.

Participants will learn to use Claude for task delegation, process assistance, document automation, research support, and time-saving strategies.

This training program introduces learners to DALL-E 3, OpenAI’s most advanced text-to-image model.

The course focuses on foundational concepts, hands-on tools, and real-world applications across industries like manufacturing, healthcare, automotive, and smart devices.

This training provides a comprehensive introduction to Kubiya AI, a conversational AI platform that helps automate DevOps, cloud workflows, and internal operations.

Participants will learn how machines process and understand human language and how to apply various NLP techniques.

The course combines strategic insight with practical exercises to build real-world AI-assisted content skills.

Participants will learn how to integrate LLMs into the software development lifecycle to improve efficiency, accuracy, and maintainability.

This workshop introduces educators, trainers, and academic professionals to NotebookLM, Google's AI-powered research and learning tool.

This training is designed for students, professionals, and academics who want to enhance their research and writing process using Perplexity AI.

This course provides hands-on training in using Edge AI for computer vision applications, focusing on deploying vision-based AI models.

This training is designed to help DevOps, SRE, and cloud operations teams use Kubiya AI to automate, manage, and interact with cloud infrastructure.

This training is designed to help advanced developers effectively use Tabnine, an AI-powered code completion tool.

Participants will learn to use Claude to synthesize information, summarize documents, extract insights and manage internal knowledge.

This course focuses on designing, developing, and deploying customized workflows using AutoGPT.

This training is designed for developers and AI practitioners who want to go beyond the basics and build robust, complex, and modular multi-agent applications.

This foundational course introduces participants to NotebookLM, Google's AI-powered note-taking and research assistant.

This training is designed to help participants understand and use OpenAI’s Sora, a cutting-edge text-to-video generation model.

Participants will explore how AI and machine learning enhance IT operations by reducing noise, identifying patterns, and proactively addressing incidents.

Participants will learn how to use Claude effectively for writing articles, social media posts, marketing copy, emails, and more.

This training introduces participants to DALL·E and DALL·E 2, AI models developed by OpenAI for generating images from text.

This training introduces participants to the concepts, tools, and best practices for designing and deploying AI solutions on edge devices.

This training is designed specifically for educators who want to use Perplexity AI to enhance teaching and curriculum design.

This course provides a foundational understanding of Tabnine, designed to help developers write code faster and with fewer errors.

Participants will learn the principles of boosting, how AdaBoost improves model performance, and how to apply it to classification and regression tasks using scikit-learn.

Learners will explore prompt engineering, customization, and best practices for scaling content production.

This course introduces participants to OpenAI’s Sora, a powerful text-to-video model capable of producing high-fidelity videos from natural language descriptions.

Participants will learn techniques to optimize creativity, productivity, and consistency in producing written, visual, and multimedia content.

The course blends conceptual learning with practical exercises so participants can build usable AI-powered solutions by the end of the program.

This course provides hands-on training on how to set up and operate OBS Studio for video production.

This course focuses on the design, development, and deployment of AI agents capable of functioning in real-world environments.

This course provides a hands-on exploration of designing, developing, and deploying agentic AI agents capable of autonomous decision-making, task execution, and collaboration.

This course introduces participants to Agentic AI – AI systems capable of autonomous reasoning, planning, and acting with external tools

Participants will gain both conceptual knowledge and hands-on experience in applying Generative AI within hospitality workflows.

This course introduces participants to the design, development, and deployment of AI-driven agents tailored for business process automation.

This course explores the principles, design, and applications of Agentic AI.

This course introduces participants to the design, development, and deployment of multi-modal AI agents that can interact and reason across text, images, and speech.

It balances technical foundations, practical applications, and ethical/regulatory considerations, equipping participants with the skills to design and evaluate AI-driven healthcare solutions.

This course introduces participants to LangChain, a leading framework for developing applications powered by Large Language Models (LLMs).

Participants will learn how agentic AI can be applied to areas like clinical decision support, patient monitoring, diagnostics, drug discovery, and operational efficiency.

Participants will gain both conceptual knowledge and hands-on experience in designing, implementing, and evaluating AI-driven financial solutions.

This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and real-world applications.

Participants will learn how to set up Stable Diffusion, master prompt engineering, use advanced extensions, and integrate AI tools.

Participants will gain hands-on experience in generating high-quality videos using Veo 3 for storytelling, marketing, education, and creative projects.

Participants will learn prompt engineering for code, debugging, test automation, documentation, and integration into development workflows.

Participants will learn how to pair program with AI, boost productivity, and maintain security and code quality while using AI-generated suggestions.

This course equips designers, artists, and content creators with the skills to use AI-powered visual generation tools effectively.

Participants will gain hands-on experience in leveraging Copilot for writing, refactoring, and automating code across different programming tasks.

It covers the basics of prompt engineering for coding, code generation, debugging, testing, and integration into everyday development workflows.

This intensive workshop introduces participants to the rapidly evolving space of Generative AI, focusing on prompt engineering, image and video generation, and trending AI tools.

Participants will explore AgentCore architecture, memory, identity, tool integration, observability, and best practices for production-ready deployments.

This course introduces participants to LangGraph, a framework for building graph-based Large Language Model (LLM) applications and agent workflows

This course provides a practical and theoretical understanding of how to fine-tune Vision-Language Models (VLMs) such as CLIP, BLIP, Flamingo, LLaVA, and Kosmos for domain-specific tasks.

This course provides a hands-on and application-oriented approach to Computer Vision (CV) with AI techniques in industrial environments.

This intermediate-level program is designed for professionals who want to harness the power of ChatGPT for automation workflows.

The program covers responsible AI principles, risk management, regulatory compliance, and ethical AI operations aligned with international standards.

Participants will learn how Copilot assists in code generation, debugging, refactoring, documentation, and testing.

Participants will explore how AI agents interact with physical systems, how multimodal AI models can be adapted for specific tasks, and how Omniverse enables digital twin creation and collaboration.

This training provides a comprehensive introduction to Mistral AI, its open-source LLMs, deployment methods, API usage, and practical applications in enterprise workflows

This course covers notebooks, pipelines, AutoML, model registry, embeddings, vector search, tuning, monitoring, and GenAI APIs.

This training provides a hands-on introduction to Wren AI, an AI workflow automation platform for building agents, pipelines, document processors, and LLM-powered business tools without heavy coding.

Participants will learn how to apply AI tools such as ChatGPT, Midjourney, Canva AI, Gemini, Claude, and Real Estate–focused AI apps.

This program introduces participants to Vision-Language Models (VLMs) using fully open-source, modern models like Qwen 3 VL, Gemma 3 Vision, and Kimi-VL.

Through interactive sessions, real-life demonstrations, and hands-on exercises using no-code tools participants will learn how modern AI agents think, plan, and automate workflows.

Participants will learn how to effectively communicate with generative AI models through well-structured prompts, styles, constraints, and iterations to produce consistent and production-ready images.

Participants will learn how AI enhances traditional quality systems by enabling predictive quality, automated inspection, root-cause analysis, and real-time decision-making.

This course focuses on using CapCut to produce social media ads, brand videos, product promos, reels, and short-form business content.

The course focuses on core editing skills, essential tools, and simple workflows to create clean, engaging videos for social media, presentations, and personal or professional use.

This course focuses on cinematic editing techniques, advanced motion graphics, color grading, workflow optimization, and platform-specific mastery.

The course is designed to help professionals build, deploy, and scale Generative AI solutions on large-scale data platforms.

Participants learn how to design RAG pipelines that reduce hallucinations, improve answer quality, and leverage private data securely using modern AI stacks.

This developer-focused program teaches how to build real-world applications powered by Large Language Models (LLMs) using Python.

This program designed to help professionals design, test, optimize, and scale Generative AI workflows using Google AI Studio.

Introduce participants to Nano Banana, a lightweight Generative AI / small-model concept focused on fast, cost-efficient, and task-specific AI workflows.

This course focused on designing and developing fast, lightweight, and cost-efficient AI applications using Nano Banana–style compact Generative AI models.

This course provides a practical and human-centered approach to Prompt Engineering using Vibecoding principles.

Participants learn how to apply Qwen for market analysis, reporting, data interpretation, insight generation, and executive-level intelligence.

This course is a practical, role-focused program designed to help organizations use Qwen large language models to modernize customer support operations.

Participants learn how to combine edge computing principles with cloud-native Kubernetes orchestration to build low-latency, resilient AI systems.

This course is a lightweight, awareness-style program designed to explain the concept of Google Antigravity.

The course focuses on modern browser automation, AI-assisted workflows, scalable execution, and reliability engineering for automating web tasks, tests, and data workflows.

Introduces participants to designing, managing, and optimizing AI agent workflows using the Antigravity approach—a metaphor for low-friction, self-organizing, and scalable agent systems.

The course is hands-on, practical, and tool-agnostic, helping developers work faster, smarter, and with less cognitive load across coding, testing, deployment, and operations.

This training is suitable for business users, developers, analysts, and innovation teams looking to maximize value from Gemini 3.

This course focused on building, deploying, scaling, and operating machine learning systems on Kubernetes.

This course emphasizes how Claude can be used as a project copilot for documentation, scheduling, reporting, stakeholder communication, and continuous project optimization.

This course focused on designing, training, deploying, and operating machine learning models on ultra-low-power, resource-constrained devices such as microcontrollers and edge sensors.

This course bridges embedded security with ML-specific threats, helping teams build secure-by-design TinyML systems.

This program designed to teach how TinyML (machine learning on ultra-low-power devices) can be applied to healthcare and medical applications.

The course focuses on combining Notion’s workspace features with Notion AI to improve productivity, organization, and team workflows.

This course shows how to turn Notion into a lightweight workflow automation platform for task management, approvals, content pipelines, project operations, and team collaboration.

This course is a developer-focused, hands-on program designed to teach how to build production-grade AI applications using Mastra with TypeScript.

Focused on orchestrating AI-driven processes, integrating tools and systems, managing state, and building reliable automation pipelines, enabling teams to automate complex business and technical workflows with AI.

This course helps administrative professionals, office staff, executive assistants, and operations teams use ChatGPT to automate routine tasks, reduce manual work, and improve accuracy and efficiency.

This course is designed to manage daily work more efficiently, automate routine administrative tasks, and improve organization and communication.

This program designed to help professionals understand and use Artificial Intelligence through ChatGPT for productivity, communication, analysis, and everyday business tasks.

This course designed to help professionals use ChatGPT to quickly summarize long reports, documents, and data-heavy content into clear, accurate, and decision-ready summaries.

This program designed to help developers build production-grade AI applications using GPT-5.

This course is designed to help professionals use ChatGPT to create clear, consistent, and effective public-facing communications.

This course designed to help government officials, public sector staff, and administrators use ChatGPT to improve productivity, service delivery, communication, and decision support, while maintaining security, privacy, compliance, and accountability.

The course focuses on using ChatGPT as a personal productivity assistant for writing, planning, organization, analysis, and routine work—helping participants save time and improve work quality.

This program designed to help project managers, PMOs, team leads, and coordinators use ChatGPT to plan, track, communicate, and document projects more efficiently.

This program designed to help virtual assistants (VAs), executive assistants, remote support staff, and administrative professionals use ChatGPT to work faster, handle more tasks, and deliver higher-quality support.

This program designed to help teachers, trainers, academic staff, and education administrators effectively use ChatGPT to enhance teaching, learning, assessment, and academic productivity.

This program designed to help healthcare professionals, administrators, and support staff use ChatGPT to improve documentation, communication, education, and operational efficiency, while maintaining patient safety, data privacy, and regulatory compliance.

This course helps professionals use ChatGPT to streamline HR operations, improve employee communication, support talent management, and enhance HR documentation, while maintaining data privacy, compliance, and ethical standards.

This course helps government officials, public sector staff, and IT teams understand and use DeepSeek AI models to improve productivity, document processing, analysis, and internal workflows.

This course helps researchers, PhD scholars, faculty, data analysts, and R&D professionals use DeepSeek AI models to accelerate literature review, data interpretation, experiment documentation, and research communication.

The course focuses on using DeepSeek AI as a financial analysis assistant to support — not replace — professional judgment and financial decision-making.

Focused on how to build and use AI systems that understand and combine text, images, documents, and other data types using DeepSeek multimodal models.

Focuses to help professionals use DeepSeek AI to create, enhance, and standardize PowerPoint presentations faster and more effectively.

Participants learn how to design, test, and optimize prompts for DeepSeek AI models to achieve accurate, consistent, and reliable outputs across business, technical, and research use cases.

This program designed to teach how to build production-grade AI applications using DeepSeek APIs.

The course is designed to help participants understand how LLMs work, what they can do, and how to use them responsibly and effectively across business, research, and technical environments.

This program designed to help organizations use Manus AI to automate business processes, streamline operations, and build AI-driven workflows across departments such as operations, finance, HR, customer support, and IT.

This program designed to help professionals and teams use Manus AI to work faster, reduce manual effort, and improve everyday productivity.

This program designed to help professionals use Manus AI to analyze data faster, generate insights, and automate common analytical tasks, without requiring advanced data science or coding skills.

This course is designed to help professionals use Grok AI to work faster, reduce manual effort, and improve daily business productivity.

The AutoGPT Fundamentals Training introduces participants to autonomous AI agents using AutoGPT and similar agent frameworks.

The course focuses on applying lightweight agent architectures to automate multi-step business processes, manage task queues, and orchestrate AI-driven workflows for operational efficiency.

The BabyAGI Fundamentals Training provides a clear introduction to task-driven autonomous AI agent systems using the BabyAGI architecture.

This program designed to help teams use BabyAGI-style agent systems to automate multi-step workflows, orchestrate tasks, and build AI-driven business process automation.

This program designed to help professionals use Read AI to automate meeting notes, generate summaries, track action items, and improve meeting productivity.

This program designed to teach participants how to build multi-agent systems using Microsoft AutoGen and similar LLM agent frameworks.

This program designed to teach how to build, deploy, and manage AI agents using the Mastra framework.

The Google Antigravity Essentials Training introduces participants to Google Antigravity and its capabilities for building AI-driven automation, agent workflows, and intelligent applications.

This program designed to help organizations use agent-based AI systems to automate complex, multi-step business processes.

This program designed to help organizations design, deploy, and operate agentic AI systems securely, with strong focus on security, privacy, governance, and risk management.

This program designed to help teams build, train, and deploy intelligent chatbots using Google AutoML and Google Cloud conversational AI tools.

This program designed to help non-technical users build, deploy, and manage AI-powered chatbots using no-code and low-code platforms.

This is designed for teams who want to move beyond basic chatbot setup and build highly customized, intelligent, and enterprise-integrated chatbots.

The Generative AI for Developers Training is a hands-on program designed to teach developers how to build, integrate, and deploy Generative AI capabilities into modern software applications.

This program designed to help finance teams use AI copilots to automate routine finance tasks, accelerate analysis, and improve financial decision support.

This program designed to help teams use Microsoft Copilot Studio to build, customize, and automate AI-powered copilots and workflows for business processes.

The course focuses on API-based prompting, structured outputs, prompt versioning, evaluation, and production reliability, enabling teams to build consistent, scalable, and testable AI features.

This program teaches how to design safe, effective, and compliant prompts for using Generative AI in clinical, administrative, and operational healthcare settings.

The Intelligent ApplicationsFundamentals Training introduces participants to the concepts, architectures, and practices for building applications enhanced with Artificial Intelligence.

This program designed to teach how to use Google Cloud Vertex AI to generate, customize, and deploy AI-powered media content, including images, video, audio, and multimodal assets.

This program designed to teach how to build Retrieval-Augmented Generation (RAG) systems and AI agents using Google Cloud Vertex AI.

This program focused on building applications that use multimodal large language models on Google Cloud Vertex AI, enabling systems that understand and generate across text, images, audio, and video.

Introduces participants to Nano Banana, covering its core features, use cases, and practical applications.

This program designed to help professionals use Google Gemini 3 to work faster, reduce manual effort, and improve daily business productivity.

This program teaches how to build applications using Google Gemini 3 multimodal capabilities, enabling apps that understand and generate across text, images, audio, and video.

Participants learn to deploy and use Gemini 3 securely, with strong emphasis on security, privacy, governance, and risk management for Generative AI systems.

Participants will learn how to build, train, deploy, and operate machine learning and Generative AI solutions using Microsoft Azure Machine Learning and Azure OpenAI Service.

Introduces participants to Microsoft Azure’s AI services, core AI concepts, and how AI is used in real-world business and technical scenarios.

This program designed to help professionals use Qwen Chat to work faster, improve communication, and streamline everyday business tasks.

This explores the architectural principles, system design patterns, and research-aligned approaches for building advanced general-purpose AI systems.

Focuses on applying Artificial Intelligence to physical systems, enabling robots and automated machines to perceive, decide, and act in real-world environments.

This course helps participants understand how AI-powered tools and automation can enhance efficiency, safety, passenger experience, and decision-making across airport functions.

Participants will explore AI-driven tools for task automation, risk prediction, resource optimization, and data-driven decision making.

Claude Code for Non-Developers Training empowers business professionals to harness AI-powered coding assistance without prior programming experience, enabling automation, data analysis, and workflow optimization.

Master the fundamentals of OpenClaw for automated deployment and infrastructure management. This training equips participants with hands-on skills to streamline IT operations.

This advanced training covers the design, development, and deployment of intelligent AI agents. Participants will master multi-agent systems, reinforcement learning, and real-world agent architectures.

This advanced training dives deep into developing and deploying large language models using OpenAI's APIs, covering fine-tuning, prompt engineering, and production integration.

This training equips Agile teams with foundational and practical AI skills to enhance collaboration, velocity, and decision-making in iterative workflows.

Empower enterprise teams to design, deploy, and manage autonomous AI agents that drive business outcomes.

This training empowers HR and learning professionals to leverage artificial intelligence for talent management, employee development, and learning experience design.

This training provides a comprehensive understanding of how artificial intelligence is transforming finance, risk management, and compliance. Participants will learn to apply AI techniques to real-world financial challenges.

Learn to systematically attack AI agents and secure them against adversarial threats. This course covers red teaming methodologies for AI systems.

This course provides a comprehensive foundation in data engineering specifically tailored for preparing and managing data for AI training. Participants will learn to build robust data pipelines and ensure data quality for machine learning models.

Master cloud financial operations and AI cost governance to optimize spending and maximize business value.

This training empowers professionals to leverage Microsoft 365 Copilot AI for enhanced workplace productivity. Participants will learn to automate tasks, generate content, and collaborate smarter using integrated AI tools.

This course provides a comprehensive understanding of AI governance frameworks, risk management strategies, and responsible deployment practices to ensure ethical, transparent, and compliant AI systems.

This training equips participants with the skills to design, implement, and manage secure AI agent systems in enterprise environments.

Master the design and deployment of enterprise-grade knowledge assistants using RAG architecture, combining retrieval-based and generative AI for accurate, context-aware responses.

This program equips professionals with the skills to integrate artificial intelligence into the software delivery lifecycle, enhancing efficiency, quality, and speed.

Master the end-to-end lifecycle of AI systems, from design and development to deployment and monitoring in production environments.

This course provides a comprehensive introduction to artificial intelligence concepts and their practical applications in the modern workplace, enabling participants to leverage AI tools and strategies effectively.

This training provides a foundational understanding of governing AI projects, covering ethical frameworks, risk management, and compliance. Participants will learn to establish robust governance structures for AI initiatives.

This training provides a comprehensive framework for governing AI projects, ensuring ethical, compliant, and strategically aligned project delivery.

This course empowers educators to integrate artificial intelligence into their teaching practices, enhancing student engagement and learning outcomes.

Learn to leverage Claude Code for AI-assisted software engineering tasks including code generation, debugging, and optimization.

Master the integration of AI and machine learning into IT operations. This training equips professionals with advanced techniques for automating incident response, anomaly detection, and root cause analysis.

This training provides a comprehensive foundation in Applied AI and LLM Engineering using Python, covering core concepts, practical implementation, and deployment strategies.

This training provides a comprehensive understanding of Alibaba Cloud AI Agents, covering architecture, development, deployment, and management.

Master the creation and deployment of intelligent AI agents on Microsoft Azure. This training equips professionals with the skills to build, orchestrate, and manage AI agents for enterprise solutions.

This training provides a comprehensive introduction to building and deploying AI agents on Google Cloud, covering core concepts, development tools, and best practices.

Learn to build intelligent AI agents using Microsoft 365 Copilot with no-code techniques. This training empowers business professionals to automate workflows and enhance productivity.

This training provides a comprehensive introduction to building intelligent AI agents using the OpenAI API, covering core concepts, tool integration, and deployment best practices.

This training equips professionals to design and develop AI assistants tailored for workplace efficiency, covering core technologies and deployment strategies.

Learn to build intelligent applications using Replit's AI-powered development environment. This training covers AI integration, prompt engineering, and full-stack app creation.

Learn to design, deploy, and manage enterprise-grade AI agents on Tencent's Application Delivery Platform (ADP), mastering agent lifecycle, integration, and governance.

This training equips software QA professionals with AI and machine learning techniques to enhance test automation, defect prediction, and software quality assurance processes.

This training prepares team leaders to assess, adopt, and lead AI-driven initiatives within their teams. It covers foundational AI concepts, ethical considerations, and strategic implementation.

This training provides a comprehensive understanding of the Model Context Protocol (MCP) for building enterprise-grade servers and clients. Participants will learn to design, implement, and deploy scalable MCP-based systems.

Master enterprise-scale development with Claude Code. This training empowers teams to leverage AI-assisted coding for faster, more reliable software delivery.

Master end-to-end agent workflows with Cursor and deploy AI-powered applications efficiently.

The Claude AI Masterclass: From Productivity to Workflow Automation is a comprehensive, hands-on training program designed to equip professionals with the knowledge and practical skills to effectively leverage Claude AI for business productivity, communication, research, data analysis, content creation, and workflow automation.

Master the design, development, and deployment of intelligent AI agents using Microsoft Copilot and the Power Platform ecosystem. Build enterprise-grade conversational agents that automate workflows, enhance productivity, and deliver measurable business value.

Master Microsoft Copilot to streamline HR workflows, enhance employee experience, and drive data-informed people decisions. This practical training equips HR professionals with AI-powered skills for modern HR operations.

Master Microsoft Copilot to streamline IT workflows, automate routine tasks, and enhance productivity securely. Gain practical expertise in deploying and managing Copilot across enterprise environments.

Master Microsoft Copilot to streamline operations workflows, automate routine tasks, and drive data-informed decisions across enterprise environments.

AI Automation for Cybersecurity Training covers AI fundamentals for security professionals, AI-assisted threat detection, security data analysis, automated workflows, incident investigation, and practical implementation approaches.

Master Microsoft Copilot for sales productivity, pipeline management, and customer engagement. Learn to leverage AI-driven insights to accelerate deals and enhance buyer interactions.

Learn to leverage MS Copilot for IT operations, data analysis, and automation in manufacturing environments. Build practical AI skills for smart factory and Industry 4.0 initiatives.

Master Claude AI and Microsoft Copilot to transform financial analysis, reporting, and decision-making. Learn to automate workflows and generate actionable insights with generative AI.

Learn to leverage Microsoft Copilot and Agentic AI to automate business workflows, enhance decision-making, and drive enterprise productivity.

Learn to integrate artificial intelligence capabilities into Excel for smarter data analysis, automation, and insights. This course empowers professionals to leverage AI-driven features and techniques within Excel workflows.