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Introduction to RAG for Codebases and Documentation

โ˜… 5.0 (2)
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AI-Assisted Code Refactoring: Modernize Code with LLMs

โ˜… 5.0 (1)
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Building Multi-Agent Systems with CrewAI and AutoGen

โ˜… 4.7 (3)
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Structured LLM Outputs: JSON, Pydantic, and Validation

โ˜… 4.7 (7)
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AI Agents for DevOps: Automate Incidents and Infrastructure

โ˜… 4.5 (2)
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Prompt Engineering Patterns for Developers

โ˜… 4.6 (17)
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Coding with AI Assistants: Cursor, Copilot, and Continue

โ˜… 5.0 (1)
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Deploying Local LLMs: vLLM, Quantization, and Inference

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Vector Databases Fundamentals: Qdrant, Weaviate, and pgvector

โ˜… 4.5 (2)
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Foundations of LLM Application Testing and Evaluation

โ˜… 4.6 (18)
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Model Context Protocol (MCP): Build Custom AI Servers

โ˜… 5.0 (2)
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LLM Function Calling: Connect AI to APIs and Databases

โ˜… 4.8 (14)
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Prompt Engineering for Claude: Context and Tool Use

โ˜… 5.0 (2)
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LlamaIndex Fundamentals: Build AI Agents and RAG Apps

โ˜… 4.7 (3)
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Building Multi-Step AI Agents with LangGraph

โ˜… 5.0 (1)
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Building RAG Systems: Search, Reranking, and Evaluation

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Introduction to Text-to-SQL with LLMs for Data Analytics

โ˜… 5.0 (1)
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AI for Software Testing: Generate Unit and E2E Tests

โ˜… 4.8 (4)
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Automating Code Review with AI Agents

โ˜… 5.0 (1)
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Foundations of LLMOps: Deploy, Version, and Monitor LLMs

โ˜… 5.0 (3)
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Local LLMs for Coding: Ollama, llama.cpp, and RAG

โ˜… 4.0 (1)
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Introduction to LLM Fine-Tuning with LoRA and QLoRA

โ˜… 4.6 (18)
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GitHub Copilot for Teams: Accelerating Production Code

โ˜… 4.0 (1)
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Introduction to Claude Code: CLI Agent and Automation

โ˜… 4.7 (12)
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