Generative AI Bootcamp 2026: ChatGPT, LLMs, Prompting

“This course contains the use of artificial intelligence”Step into the world of Artificial Intelligence with this comprehensive, hands-on course designed to take you from absolute beginner to confident AI practitioner. In this course, you will build a strong foundation in Generative AI, understand how modern systems like ChatGPT and Large Language Models (LLMs) work, and learn how to apply these technologies in real-world scenarios. Whether you are a student, developer, or business professional, this course will give you the skills to navigate and leverage the rapidly evolving AI landscape.

We begin with a clear and intuitive introduction to Generative AI, breaking down complex concepts like AI vs Machine Learning vs Deep Learning in a simple and practical way. You’ll then dive into the core mechanics of AI systems, including tokens, model training basics, and how text generation actually works behind the scenes. This foundational knowledge ensures you don’t just use AI tools—you truly understand them.

As you progress, you will explore the power of Large Language Models (LLMs), including how tools like ChatGPT process information using context windows and tokenization. You’ll gain insights into both the capabilities and limitations of these systems, helping you use them more effectively and responsibly. One of the most valuable skills you’ll master in this course is Prompt Engineering.

You’ll learn how to craft high-quality prompts using techniques like role-based prompting, chain-of-thought prompting, and reusable prompt templates for business and automation. This skill alone can dramatically improve the output you get from AI systems and is highly in demand across industries. The course also introduces advanced concepts like embeddings, semantic search, and vector databases, giving you a deeper understanding of how AI systems store and retrieve information.

You’ll then move into one of the most important modern AI techniques: RAG (Retrieval-Augmented Generation), where you’ll learn how to connect AI models to external data sources to build smarter, more accurate systems. To take things further, you’ll explore Agentic AI, where models can perform multi-step reasoning, use tools, and automate workflows. You’ll understand how AI agents operate and how they are shaping the future of automation and intelligent systems.

This course is not just theoretical—you will build your own AI project. In the hands-on section, you’ll build a complete AI chatbot from scratch, learning how to set up your environment, work with API keys, design chatbot architecture, and improve response quality. This project will give you real, practical experience that you can showcase in your portfolio.

Beyond building, you’ll discover how AI is transforming industries through real-world use cases such as business automation, marketing AI, customer support systems, and software development workflows. You’ll also learn about Responsible AI, including bias, hallucinations, data privacy, and ethical AI practices, ensuring you build and use AI systems responsibly. Finally, the course guides you through the future of AI and provides a clear career roadmap to becoming an AI Engineer or AI Specialist.

You’ll understand industry trends, the reality of AI’s impact on jobs, and the key skills needed to stay relevant in this fast-changing field. By the end of this course, you will not only understand Generative AI concepts but also have the confidence to build, apply, and innovate with AI in real-world scenarios. This is your complete guide to mastering modern AI—from fundamentals to practical implementation.