Short Course Q&A

Voice for AI Agents and Applications AI Coding Workflows: From Cloud to Local Reinforcement Fine-Tuning LLMs with GRPO Fast LLM Inference with Cerebras Introduction to On-Device AI Prompt Engineering with Llama 2 Build Interactive Agents with Generative UI AI Agentic Design Patterns with AutoGen Automated Testing for LLMOPs Pydantic for LLM Workflows Spec-Driven Development with Coding Agents Multi-vector Image Retrieval DSPy: Build and Optimize Agentic Apps LLMs as Operating Systems: Agent Memory Open Source Models with Hugging Face Fast & Efficient LLM Inference with vLLM Building with Llama 4 ACP: Agent Communication Protocol A2A: The Agent2Agent Protocol Practical Multi AI Agents and Advanced Use Cases w Agent Memory: Building Memory-Aware Agents AI Agents for Image and Video Generation AI Code Review Building Adaptive AI Agents Building and Evaluating Advanced RAG Applications Building Applications with Vector Databases Orchestrating Workflows for GenAI Applications Efficient Inference with SGLang Building Systems with the ChatGPT API Quality and Safety for LLM Applications AI Agents in LangGraph Advanced Retrieval for AI with Chroma Claude Code: A Highly Agentic Coding Assistant LangChain: Chat with Your Data Getting Structured LLM Output Getting Started with Mistral Retrieval Optimization: From Tokenization to Vecto Prompt Engineering for Vision Modelss Functions, Tools and Agents with LangChain Building Live Voice Agents with Google’s ADK Large Multimodal Model Prompting with Gemini Understanding and Applying Text Embeddings with... Build LLM Apps with LangChain.js Introducing Multimodal Llama 3.2 Building an AI-Powered Game Building AI Applications with Haystack Collaborative Writing and Coding with OpenAI Canva MCP: Build Rich-Context AI Apps with Anthropic JavaScript RAG Web Apps with LlamaIndex Post-training of LLMs Building and Evaluating Data Agents How Transformer LLMs Work Knowledge Graphs for AI Agent API Discovery Governing AI Agents Evaluating and Debugging Generative AI Building Multimodal Search and RAGs Reinforcement Learning from Human Feedback How Business Thinkers Can Start Building AI Plugin Knowledge Graphs for RAG Building Agentic RAG with LlamaIndex Multi AI Agent Systems with crewAI Red Teaming LLM Applications Building Your Own Database Agent Safe and Reliable AI via Guardrails Jupyter AI: AI Coding in Notebooks Building Multimodal Data Pipelines Vibe Coding 101 with Replit Build and Train an LLM with JAX Improving Accuracy of LLM Applications Carbon Aware Computing for GenAI Developers Prompt Compression and Query Optimization Agentic Knowledge Graph Construction Document AI: From OCR to Agentic Doc Extraction Attention in Transformers: Concepts and Code in Py Evaluating AI Agents Build Apps with Windsurf’s AI Coding Agent Build Long-Context AI Apps with Jamba Building Towards Computer Use with Anthropic Building Coding Agents with Tool Execution LangChain for LLM Application Development Pretraining LLMs Quantization In Depth Pair Programming with a Large Language Model Building Generative AI applications with Gradio Reasoning with o1 Building AI Voice Agents for Production Short Course Resources LLMOps About the LLMOps category Build AI Apps with MCP Servers: With Box Files ChatGPT Prompt Engineering for Developers Federated Learning Preprocessing Unstructured Data 4 LLM Applications Building AI Browser Agents Quantization Fundamentals with Hugging Face Serverless LLM apps with Amazon Bedrock Finetuning Large Language Models Long-Term Agentic Memory with LangGraph Building Code Agents with Hugging Face smolagents Efficiently Serving LLMs Nvidia's NeMo Agent Toolkit:Making Agents Reliable Agent Skills with Anthropic Event-Driven Agentic Document Workflows Build with Andrew! To ensure a smooth and productive experience for everyone, here are a few important guidelines regarding posting in our forum: Gemini CLI:Code & Create with an Open-Source Agent AI Python for Beginners-SC Click on the link to add your post on the course category! Large Language Models with Semantic Search How Diffusion Models Work Embedding Models: From Architecture to Implementat Vector Databases: from Embeddings to Applications Function-Calling and Data Extraction with LLMs