🚀 Free Learning Path

Gen AI Course

Master Gen AI with structured tutorials, real-world examples, interview-focused explanations and practical learning topics.

A comprehensive guide to Generative AI, covering Large Language Models, prompt engineering, RAG, fine-tuning, and the orchestration of autonomous AI agents for production environments.

20 Topics Beginner → Advanced Interview Focused Free Course
Start Learning → Practice Interviews
Gen AI
Gen AI Learning Roadmap
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What you will learn

Core concepts, practical examples, syntax, real-world usage and interview-focused explanations.

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Who should learn this?

Students, freshers, backend developers, job seekers and professionals preparing for interviews.

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Career benefits

Build strong fundamentals, improve confidence and prepare for real company interview rounds.

Step-by-step roadmap

Course Topics

Start learning in a structured order with practical tutorials and interview points.

1 Introduction to Generative AI and Synthetic Media Read tutorial with examples and interview points → 2 How Large Language Models (LLMs) Work Read tutorial with examples and interview points → 3 The Transformer Architecture Explained Read tutorial with examples and interview points → 4 Prompt Engineering Fundamentals Read tutorial with examples and interview points → 5 Advanced Prompting: Chain of Thought and Few-Shot Read tutorial with examples and interview points → 6 Introduction to Image Generation and Diffusion Models Read tutorial with examples and interview points → 7 Generative AI Ethics, Bias, and Safety Read tutorial with examples and interview points → 8 The Generative AI Tech Stack and Ecosystem Read tutorial with examples and interview points → 9 Working with OpenAI API and Open Source Models Read tutorial with examples and interview points → 10 Understanding Vector Embeddings and Semantic Search Read tutorial with examples and interview points → 11 Introduction to Vector Databases Read tutorial with examples and interview points → 12 Retrieval-Augmented Generation (RAG) Architecture Read tutorial with examples and interview points → 13 Building Your First RAG Application Read tutorial with examples and interview points → 14 Advanced RAG: Hybrid Search and Re-ranking Read tutorial with examples and interview points → 15 Fine-Tuning LLMs: Concepts and Strategy Read tutorial with examples and interview points → 16 Data Preparation and Curation for Fine-Tuning Read tutorial with examples and interview points → 17 Parameter-Efficient Fine-Tuning (PEFT) and LoRA Read tutorial with examples and interview points → 18 Quantization and Model Compression Techniques Read tutorial with examples and interview points → 19 AI Orchestration with LangChain and LlamaIndex Read tutorial with examples and interview points → 20 Building Autonomous AI Agents Read tutorial with examples and interview points →
Common questions

Frequently Asked Questions

Is this Gen AI course free?

Yes, this course is designed as a free learning resource for students and professionals.

Can beginners learn Gen AI?

Yes, the topics are arranged from beginner level to advanced concepts.

Will this help in interviews?

Yes, every topic focuses on practical understanding and interview preparation.

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