Applied AI & LLM Engineering with Python Training in Queensland

Applied AI & LLM Engineering with Python Training in Queensland, Australia

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

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Applied AI & LLM Engineering with Python Training is a professional training program delivered by ProgNXT in Queensland, Australia. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Applied AI & LLM Engineering with Python Training course with hands-on, instructor-led sessions. This training provides a comprehensive foundation in Applied AI and LLM Engineering using Python. Participants will explore the principles of...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: XMB25
21 Hrs
Last Updated: July 2026

Course Rating5/5

This training provides a comprehensive foundation in Applied AI and LLM Engineering using Python. Participants will explore the principles of artificial intelligence, machine learning, and large language models, focusing on practical implementation and deployment. The course covers essential Python libraries, model development, fine-tuning, and integration of LLMs into real-world applications. Through a blend of theory and hands-on exercises, learners will gain the skills needed to build and manage AI-driven solutions.

Welcome to the official Applied AI & LLM Engineering with Python Training certification program in Queensland, Australia. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of Python programming
Familiarity with fundamental machine learning concepts
Knowledge of data structures and algorithms
Basic command line and version control (Git) experience

Upon completion, participants will be able to design, implement, and deploy AI and LLM solutions using Python. They will have practical experience with machine learning models, large language models, and deployment pipelines, enabling them to tackle real-world AI challenges in their organizations.

Proficiency in Python for AI development
Ability to build and train machine learning models
Expertise in working with large language models
Skills in prompt engineering and model customization
Competence in deploying AI solutions in production

Python for AI and data manipulation
Machine learning model development and evaluation
Large language model architecture and fine-tuning
Prompt engineering and response optimization
Deployment of AI models using APIs and containers

Participants who successfully complete the training will receive an ProgNXT Certification in Applied AI & LLM Engineering with Python Training, validating their expertise in building and deploying AI solutions with Python and large language models.

Introduction to Applied AI and Python Ecosystem

Overview of artificial intelligence and its applications
Setting up the Python environment for AI development
Key libraries: NumPy, Pandas, Scikit-learn, and Transformers
Data preprocessing and feature engineering

Hands-on exercises

Machine Learning Fundamentals

Supervised and unsupervised learning algorithms
Model selection, training, and validation
Evaluation metrics and cross-validation techniques
Handling overfitting and underfitting

Hands-on exercises

Deep Learning with Python

Neural network architecture and activation functions
Building models with TensorFlow and PyTorch
Training deep networks and backpropagation
Regularization and optimization strategies

Hands-on exercises

Introduction to Large Language Models

Transformer architecture and attention mechanisms
Pre-trained models and transfer learning
Working with Hugging Face Transformers library
Tokenization and model inference

Hands-on exercises

Prompt Engineering and Fine-Tuning

Designing effective prompts for LLMs
Fine-tuning pre-trained models on custom datasets
Parameter-efficient fine-tuning techniques
Evaluating and improving model responses

Hands-on exercises

Building AI-Powered Applications

Integrating LLMs into web applications
Developing chatbots and conversational agents
Using APIs for model deployment
Handling context and memory in applications

Hands-on exercises

Model Deployment and Scaling

Containerizing AI models with Docker
Deploying models on cloud platforms
Monitoring and logging in production
Scaling inference with load balancing

Hands-on exercises

Ethics, Bias, and Responsible AI

Identifying and mitigating bias in AI models
Ensuring fairness and transparency
Privacy considerations and data governance
Compliance with AI regulations

Hands-on exercises

Advanced Topics and Future Trends

Multimodal AI and vision-language models
Retrieval augmented generation (RAG)
Emerging trends in LLM research
Building custom tooling and pipelines

Hands-on exercises

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Target Audience

Software developers and engineers seeking AI expertise
Data scientists and analysts transitioning to AI
IT professionals interested in LLM engineering
Technical managers overseeing AI projects

Evaluation

Continuous assessment through hands-on exercises
Practical assignments and mini-projects
Final evaluation based on a capstone exercise
Instructor feedback and peer review

Applied AI & LLM Engineering with Python Training Events in queensland

Online Events

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More Upcoming Session Dates

November 2026

📍 Queensland, Australia

3rd Nov 2026→5th Nov 2026

🌐 Online Instructor-Led

12th Nov 2026→14th Nov 2026

🌐 Online Instructor-Led

23rd Nov 2026→25th Nov 2026

📍 Queensland, Australia

24th Nov 2026→26th Nov 2026

December 2026

🌐 Online Instructor-Led

9th Dec 2026→11th Dec 2026

📍 Queensland, Australia

12th Dec 2026→14th Dec 2026

📍 Queensland, Australia

18th Dec 2026→20th Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→30th Dec 2026

Events for other courses in Queensland, Australia

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Applied AI & LLM Engineering with Python Training in Queensland