✅ Embeddings
✅ Embedding Models
✅ Cosine Similarity
✅ Dense Embeddings
✅ Sparse Embeddings
✅ Hybrid Search
📌 Phase 12: Vector Databases
Store and retrieve embeddings efficiently.
✅ FAISS
✅ ChromaDB
✅ Pinecone
✅ Weaviate
✅ Milvus
✅ Qdrant
✅ pgvector
📌 Phase 13: Retrieval-Augmented Generation (RAG)
Build AI systems that use external knowledge.
✅ Document Loading
✅ Chunking
✅ Embeddings
✅ Indexing
✅ Retrieval
✅ Re-ranking
✅ Metadata Filtering
✅ Hybrid Search
✅ Advanced RAG
✅ Graph RAG
✅ Corrective RAG
✅ Agentic RAG
📌 Phase 14: AI Agents
Build autonomous AI applications.
✅ AI Agent Fundamentals
✅ Tool Calling
✅ Memory
✅ Planning
✅ Reflection
✅ Multi-step Reasoning
✅ Agent Workflows
✅ Multi-Agent Systems
✅ MCP (Model Context Protocol)
✅ A2A Protocol
✅ Human-in-the-loop
📌 Phase 15: AI Frameworks
Learn the most popular AI development frameworks.
✅ LangChain
✅ LangGraph
✅ LlamaIndex
✅ CrewAI
✅ Agno
✅ DSPy
✅ OpenAI Agents SDK
✅ AutoGen
📌 Phase 16: Backend Development
Create APIs and AI applications.
✅ FastAPI
✅ REST APIs
✅ Authentication
✅ Async Python
✅ WebSockets
📌 Phase 17: Deployment
Deploy AI applications to production.
✅ Docker
✅ Docker Compose
✅ Kubernetes Basics
✅ Nginx
✅ CI/CD
✅ GitHub Actions
✅ Render
✅ Railway
✅ AWS
✅ Azure
✅ Google Cloud
📌 Phase 18: LLMOps & MLOps
Monitor and manage AI systems.
✅ MLflow
✅ LangSmith
✅ Weights & Biases
✅ Prompt Versioning
✅ Logging
✅ Tracing
✅ Monitoring
✅ Evaluation Pipelines
✅ A/B Testing
📌 Phase 19: AI Security
Build secure and reliable AI applications.
✅ Prompt Injection
✅ Jailbreak Attacks
✅ Guardrails
✅ PII Detection
✅ Output Validation
✅ Hallucination Reduction
✅ Content Moderation
✅ Secret Management
📌 Phase 20: AI Performance Optimization
Improve speed, cost, and efficiency.
✅ Prompt Optimization
✅ Semantic Caching
✅ Batch Processing
✅ Streaming Responses
✅ Token Optimization
✅ Quantization
✅ Model Routing
✅ Latency Optimization
📌 Phase 21: Build Real-World Projects
Apply your knowledge through practical projects.
✅ AI Chatbot
✅ PDF Chat Application
✅ Resume Analyzer
✅ AI Interview Assistant
✅ AI SQL Assistant
✅ AI Code Reviewer
✅ AI Research Assistant
✅ AI Email Assistant
✅ AI Data Analyst
✅ AI Content Generator
✅ Voice Assistant
✅ Multi-Agent Research System
📌 Phase 22: AI System Design
Learn to design scalable AI systems.
✅ AI Architecture
✅ Scalable AI Applications
✅ Distributed Systems
✅ Load Balancing
✅ Queue Systems
✅ Event-Driven Architecture
✅ Cost Optimization
📌 Phase 23: Portfolio
Build a strong portfolio to showcase your skills.
✅ GitHub Projects
✅ Deploy Live Applications
✅ Technical Blogs
✅ LinkedIn Posts
✅ Open Source Contributions
✅ Case Studies
✅ Personal Portfolio Website
📌 Phase 24: Interview Preparation
Prepare for AI Engineer interviews.
✅ Python Interview Questions
✅ SQL Interview Questions
✅ Machine Learning Interview Questions
✅ Deep Learning Interview Questions
✅ LLM Interview Questions
✅ RAG Interview Questions
✅ AI Agent Interview Questions
✅ System Design Interviews
✅ Coding Problems
✅ Behavioral Interview Questions
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