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This video on ChromaDB Tutorial for Beginners by Simplilearn will help you understand ChromaDB, one of the most popular vector databases used in Generative AI and LLM-powered applications. The tutorial begins with an introduction to vector databases and explains why they are essential for storing and retrieving embeddings generated by AI models. You will learn how ChromaDB works, how to install and configure it, and how to store, manage, and query vector embeddings efficiently. The course also covers concepts such as semantic search, similarity matching, embeddings, collections, and metadata management. You will understand how ChromaDB is used in Retrieval-Augmented Generation (RAG), AI chatbots, recommendation systems, and knowledge retrieval applications. By the end of this ChromaDB crash course, you will clearly understand vector databases, ChromaDB architecture, and how to integrate ChromaDB into modern AI and LLM-based projects.
Following are the topics covered in the ChromaDB Tutorial For Beginners:
00:00:00 - Introduction to ChromaDB Tutorial For Beginners
00:03:09 - Why Traditional Databases Fail
00:06:50 - What Vector Databases Do
00:10:16 - Chroma DB Introduction
00:11:11 - Chroma DB Website Walkthrough
00:13:11 - Install ChromaDB in Windows 11
00:14:10 - Install Anaconda in Windows 11
00:15:04 - Chroma DB Coding Demo
00:15:15 - Create a Client in ChromaDB
00:15:30 - Create A Collection in ChromaDB
00:16:14 - Add Documents to Collection in ChromaDB
00:17:50 - Query the Collection in ChromaDB
00:18:25 - Inspect the Results in ChromaDB
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➡️ About Applied Agentic AI: Systems, Design & Impact
This 10-week, practitioner-level program equips experienced professionals to design and lead agentic AI systems. It combines multi-agent orchestration, hands-on technical depth, and product strategy to build and manage next-generation autonomous AI solutions.
Key Features
✅ Master agentic AI systems, planning frameworks, multi-agent ecosystems, and product strategy in a 10-week, practitioner-level program
✅ Apply your learning through 40+ demos, 10+ guided practices, 11 frameworks, 7 hands-on course-end projects, and 1 capstone
✅ Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, workflow automation, and more
✅ Work tools and frameworks like LangChain, AutoGen, CrewAI, n8n, Lovable, Miro, Figma, LangSmith, Jupyter
✅ Brush up on Python essentials and AI-ready workflows before diving into the core Agentic AI courses
✅ Join live, online interactive classes with peer-to-peer engagement on Slack, mentoring sessions, and dedicated cohort support
✅ Earn a joint program completion certificate from Microsoft and Simplilearn
✅ Secure Microsoft Learn badges on the Microsoft Learn portal for the Microsoft-branded courses
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Skills Covered
✅ Workflow Automation
✅ Agentic Frameworks
✅ MultiAgent Systems
✅ Ethics and Transparency
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✅ Prompt Engineering
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