Generative AI for Developers (TTAI2305) Training in Kazakhstan

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Price: From €3,200+VAT
  • Upcoming Date:
  • UK Based Global Training Provider

Learn how to accelerate coding, automate testing, improve documentation, and create dynamic user experiences using cutting-edge generative AI technologies.

Generative AI for Developers is an intensive hands-on training course designed to help software professionals integrate advanced AI technologies into modern software development workflows. 

Generative AI is transforming the software industry by enabling developers to generate code, automate documentation, improve testing processes, enhance UI/UX experiences, and create adaptive content faster than ever before. Industry leaders such as NVIDIA, OpenAI, and Google are driving innovation through powerful AI models and frameworks.

This comprehensive three-day training program introduces participants to advanced generative AI models including GANs, VAEs, and Transformers while providing practical experience building AI-powered applications and development workflows.

Throughout the course, participants will explore AI-assisted coding, prompt engineering, automated testing, ethical AI practices, AI security, UI/UX enhancement, and real-world AI integration strategies.

By the end of the course, attendees will have the skills needed to design, build, test, and deploy AI-driven software applications with confidence.


Why Attend This Generative AI Training?

This course provides practical, real-world experience with the latest Generative AI technologies used in modern software engineering. Participants gain hands-on skills in AI-assisted coding, automation, prompt engineering, and LLM integration, helping teams accelerate development and drive innovation.

By completing this training, developers and technical leaders will be prepared to build next-generation AI-powered applications with greater efficiency, creativity, and scalability.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

This is a highly technical course. Participants should have:

  • Experience with software development
  • Knowledge of C++, Java, C#, or HTML/Javascript
  • Basic understanding of artificial intelligence and machine learning
  • Familiarity with neural networks and optimization concepts

Who Should Attend

This course is ideal for:

  • Software developers
  • Programmers
  • Software engineers
  • Technical team leads
  • Technical product managers
  • UI/UX designers
  • Professionals interested in AI-powered software development

This training is designed for intermediate and advanced professionals with a background in programming and a basic understanding of artificial intelligence and machine learning concepts.

What You Will Learn

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

  • Apply Generative AI technologies in software development projects
  • Understand and utilize GANs, VAEs, and Transformer models
  • Use AI-assisted code generation
  • Create documentation using AI-powered tools
  • Automate testing workflows with AI
  • Apply advanced prompt engineering techniques
  • Enhance UI/UX experiences using AI
  • Build secure and ethical AI-driven applications
  • Integrate LLMs (Large Language Models) into real-world applications

Training Outline

1. Introduction to Generative AI

  • Understanding Generative AI concepts and applications
  • Evolution of AI technologies
  • Types of generative models
  • Fundamentals of machine learning and neural networks
  • Popular models including GPT and Codex

2. Introduction to Prompt Engineering

  • Understanding the role of prompts in AI
  • Crafting effective prompts
  • Improving AI outputs through prompt optimization
  • Experimenting with prompt variations

3. Deep Dive into AI Models

  • Modern AI model architectures
  • Using ChatGPT, Claude Sonnet, and Grok
  • Exploring Ask, Edit, and Agent modes
  • AI-assisted development inside IDEs
  • Evaluating AI model performance and limitations

4. The SDLC and Development Environment

  • Understanding the Software Development Life Cycle
  • Setting up development environments
  • Selecting AI tools and frameworks
  • Establishing iterative development workflows

5. Developing Application Requirements

  • Creating a Product Objectives Document
  • Building User Stories and use-cases
  • Requirement analysis and review
  • AI-assisted planning and documentation

6. Architecture and AI-Assisted Design

  • AI-assisted architecture design
  • Creating Mermaid diagrams
  • Generating technical design documentation
  • Developing object models using AI

7. AI Assisted Coding

  • Inline code assistance
  • Agent-mode coding
  • Guiding software development with AI
  • Accelerating development workflows

8. AI Assisted Testing

  • Generating integration and system tests
  • Improving test coverage
  • Automating QA and testing processes
  • Increasing software reliability with AI

9. Security and AI

  • AI-driven code reviews
  • Identifying security vulnerabilities
  • Mitigating software risks
  • Enforcing coding best practices

10. Integrating AI into Applications

  • Using LLMs in modern applications
  • Secure AI integrations
  • Prompt validation techniques
  • Avoiding AI-related security risks

11. Ethics and Responsible AI

  • Ethical considerations in AI development
  • Detecting and mitigating AI bias
  • Privacy and fairness principles
  • Understanding AI regulations and compliance

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Generative AI for Developers (TTAI2305) Training in Kazakhstan. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including Kazakhstan, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Generative AI for Developers (TTAI2305) Training in Kazakhstan. Our hand-picked classroom venues in Kazakhstan offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Generative AI for Developers (TTAI2305) Training in Kazakhstan. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.
Contact us for more detail about our trainings and for all other enquiries!

Generative AI for Developers (TTAI2305) Training Course in Kazakhstan Schedule

Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
19 маусым 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
20 маусым 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
24 маусым 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
08 шілде 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
18 қыркүйек 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
19 қыркүйек 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
19 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT
23 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
€3,200 +VAT

Blog posts related to Generative AI for Developers (TTAI2305) Training Course in Kazakhstan

What Is Generative AI? Key Differences from Traditional AI

Artificial intelligence technologies have evolved rapidly over the last few years. With the rise of tools such as ChatGPT, Gemini, Claude, and Copilot, the term “Generative AI” has become one of the most discussed topics in the business and technology world. However, many professionals and organizations are still asking important questions: What exactly is Generative AI?

Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

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