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AI & Machine Learning

Master the complete AI/ML stack from fundamentals to advanced topics. Perfect for interview preparation and building real-world AI applications.

9
Courses
50+
Topics
40+
Hours

📍 Suggested Learning Path

FundamentalsPrompt EngineeringLLMsVector DBsRAGAgents
🎓

AI & ML Fundamentals

Beginner4-6 hours

Start your AI journey! Learn the basics of Artificial Intelligence, Machine Learning types, and core concepts.

What is AI?ML TypesNeural Networks BasicsTraining & Evaluation
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Prompt Engineering

Beginner3-4 hours

Master the art of crafting effective prompts. Learn advanced techniques for better AI interactions.

Prompt BasicsChain-of-ThoughtFew-shot LearningBest Practices
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🧠

Large Language Models

Intermediate6-8 hours

Dive deep into LLM architecture, transformers, attention mechanisms, and models like GPT & Claude.

TransformersAttentionGPT ArchitectureTokenization
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Vector Databases & Embeddings

Intermediate4-5 hours

Understand embeddings, vector stores, semantic search, and similarity matching for AI applications.

EmbeddingsVector SearchPineconeSimilarity Metrics
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📚

RAG Systems

Intermediate5-6 hours

Build Retrieval Augmented Generation systems. Learn RAG architecture, pipelines, and best practices.

RAG ArchitectureChunkingRetrievalGeneration
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AI Agents

Advanced6-8 hours

Create autonomous AI agents. Explore agent frameworks, tool use, ReAct patterns, and multi-agent systems.

Agent ArchitectureTool UseReActMulti-Agent
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Model Context Protocol

Advanced4-5 hours

Learn MCP - the standard for connecting AI models to data sources. Build servers and integrations.

MCP BasicsServersIntegrationsBest Practices
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Fine-tuning & Training

Advanced6-8 hours

Master model fine-tuning techniques. Learn LoRA, PEFT, and production training workflows.

LoRAPEFTTraining DataEvaluation
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🛡️

AI Safety & Alignment

Advanced5-6 hours

Learn to build safe, ethical AI systems. Explore RLHF, Constitutional AI, bias mitigation, and safety practices.

RLHFConstitutional AIBiasSafety
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