Generative AI for Developers Training in Astana

Generative AI for Developers Training in Astana, Kazakhstan

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.

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Generative AI for Developers Training is a professional training program delivered by ProgNXT in Astana, Kazakhstan. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Generative AI for Developers Training course with hands-on, instructor-led sessions. The Generative AI for Developers Training is a hands-on program designed to teach developers how to build, integrate, and deploy Generative AI...

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: KDJ36
14 Hrs
Last Updated: April 2026

Course Rating5/5

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.

The course covers LLM APIs, prompt engineering, structured outputs, AI workflows, RAG, agents, testing, security, and production deployment, enabling developers to create scalable, reliable, and enterprise-grade AI-powered applications.

Welcome to the official Generative AI for Developers Training certification program in Astana, Kazakhstan. 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 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Strong programming fundamentals (Python, JavaScript, or TypeScript)
Familiarity with REST APIs and JSON
Basic understanding of AI/ML concepts is helpful

By the end of this training, participants will be able to:

Integrate Generative AI APIs into applications
Design reliable prompts and structured outputs
Build AI-powered features and workflows
Implement Retrieval-Augmented Generation (RAG)
Develop AI agents and orchestration logic
Test, secure, and deploy AI systems in production

LLM API integration
Prompt engineering for developers
Structured output and schema validation
AI workflow orchestration
RAG implementation
Agent development
Testing and monitoring AI systems
Security and governance for AI apps

API integration quality
Workflow and architecture design
Prompt and schema reliability
Testing and monitoring practices
Security and governance implementation

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to Generative AI for Software Development

Generative AI in modern software systems
LLM capabilities and limitations
Typical AI application architectures

LLM APIs & SDKs

Overview of major LLM APIs
Authentication and API setup
Request/response patterns
Error handling and retries

Prompt Engineering for Developers

Instruction design for APIs
Context injection strategies
Prompt templates and versioning
Reducing hallucinations

Structured Outputs & Validation

JSON and schema-based outputs
Output parsing and validation
Handling malformed responses
Reliability patterns

Building AI Features

Text generation features
Summarization and extraction
Classification and tagging
AI-assisted search

Multi-Step AI Workflows

Chaining LLM calls
Conditional logic and branching
State management
Workflow orchestration patterns

Retrieval-Augmented Generation (RAG)

RAG architecture overview
Document ingestion pipelines
Vector databases (conceptual + examples)
Grounded response generation

AI Agents & Tool Use

Agent concepts for developers
Tool calling and function execution
Agent orchestration patterns
Human-in-the-loop controls

Testing & Evaluation of AI Systems

Unit testing AI logic
Prompt regression testing
Output quality evaluation
Monitoring drift and failures

Performance & Cost Optimization

Token usage optimization
Caching strategies
Latency reduction
Cost monitoring and limits

Security, Privacy & Compliance

Securing API keys and secrets
Data protection in AI apps
Prompt injection defense
Governance and auditability

Deployment & Production Operations

CI/CD for AI-powered apps
Environment separation
Monitoring and observability
Versioning models and prompts

Hands-on Exercises

Summary and Conclusion

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

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Generative AI for Developers Training Events in astana

Online Events

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More Upcoming Session Dates

November 2026

📍 Astana, Kazakhstan

3rd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

8th Nov 2026→9th Nov 2026

📍 Astana, Kazakhstan

19th Nov 2026→20th Nov 2026

🌐 Online Instructor-Led

25th Nov 2026→26th Nov 2026

December 2026

🌐 Online Instructor-Led

5th Dec 2026→6th Dec 2026

📍 Astana, Kazakhstan

12th Dec 2026→13th Dec 2026

📍 Astana, Kazakhstan

20th Dec 2026→21st Dec 2026

🌐 Online Instructor-Led

26th Dec 2026→27th Dec 2026

Events for other courses in Astana, Kazakhstan

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Generative AI for Developers Training in Astana