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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

Start Learning → Practice Interviews

AI for Developers: The Complete Engineering Roadmap 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 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 →

Common questions

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.

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