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AI for Developers: The Complete Engineering Roadmap Course

Master AI for Developers: The Complete Engineering Roadmap with structured tutorials, real-world examples, interview-focused explanations and practical learning topics.

A comprehensive guide for software engineers to master artificial intelligence. Learn to build, scale, and deploy AI-powered applications using LLMs, RAG, vector databases, and agentic frameworks.

19 Topics Beginner → Advanced Interview Focused Free Course

What you will learn

Learn core concepts, practical examples, syntax, real-world usage, and interview-focused explanations in a structured order.

Who should learn this?

Best for students, freshers, backend developers, job seekers, and professionals preparing for technical interviews.

Career benefits

Build strong fundamentals, improve coding confidence, and prepare for real company interviews with topic-wise learning.

Course Topics

Start learning step by step with practical tutorials and interview points.

1 Introduction to AI for Software Engineers Read tutorial with examples and interview points → 2 How Large Language Models (LLMs) Work Read tutorial with examples and interview points → 3 Mastering Prompt Engineering for Developers Read tutorial with examples and interview points → 4 Integrating OpenAI and Anthropic APIs Read tutorial with examples and interview points → 5 Working with Hugging Face and Open Source Models Read tutorial with examples and interview points → 6 Understanding Tokens, Context Windows, and Costs Read tutorial with examples and interview points → 7 Text Embeddings and Semantic Similarity Read tutorial with examples and interview points → 8 Introduction to Vector Databases Read tutorial with examples and interview points → 9 Building Your First RAG (Retrieval-Augmented Generation) App Read tutorial with examples and interview points → 10 Advanced RAG: Chunking Strategies and Re-ranking Read tutorial with examples and interview points → 11 Introduction to LangChain for Orchestration Read tutorial with examples and interview points → 12 Data Indexing and Retrieval with LlamaIndex Read tutorial with examples and interview points → 13 Function Calling and Tool Use in AI Applications Read tutorial with examples and interview points → 14 Building Autonomous AI Agents Read tutorial with examples and interview points → 15 Multi-Agent Systems and Orchestration Read tutorial with examples and interview points → 16 Fine-tuning LLMs: When and How to Do It Read tutorial with examples and interview points → 17 Model Quantization and Local Execution Read tutorial with examples and interview points → 18 AI Application Architecture and Design Patterns Read tutorial with examples and interview points → 19 Evaluating LLM Performance and Accuracy Read tutorial with examples and interview points →

Frequently Asked Questions

Is this AI for Developers: The Complete Engineering Roadmap course free?

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

Can beginners learn AI for Developers: The Complete Engineering Roadmap?

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.

Sponsored Learning Resources

Practical coding tutorials, interview preparation, cloud technologies and real-world development guides.