Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM

🤖 Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLMs TDM & AI Instructor Karthik KK brings you an in-depth journey into the world of AI agents, chatbots, and RAG using cutting-edge techniques with Ollama and Local LLMs! 🚀

Course Headline:

🎓 "Learn Building and Testing AI Agent, ChatBot, RAG with LangChain and LangSmith using Ollamma and Local LLMs and RAGA"

Course Description:

Are you ready to embark on a transformative learning adventure? 🤔➡️💡 Whether you're an AI enthusiast or a complete novice with zero knowledge of LangChain, this course is meticulously crafted for complete beginners. In just a few short weeks, you'll be adept at building LLM-based applications leveraging the power of local Large Language Models (LLMs).

What You’ll Learn:

• 📚 Fundamentals of LangChain & LangSmith: Lay down the basics and understand how these frameworks can elevate your AI projects.

• 🗂️ Chat Message History in LangChain: Master storing and managing conversation data within LangChain to create more coherent chatbot experiences.

• 🔄 Running Parallel & Multiple Chains: Dive into the advanced features of LangChain, including running multiple chains simultaneously to optimize performance.

• 🧠 Building Chatbots with LangChain & Streamlit: Develop intelligent chatbots that remember conversation history, powered by LangChain and Streamlit.

• ⚛️ Understanding Tools and Toolchains in LLM: Explore the complex world of tools and toolchains within LLMs, and how they can be harnessed for your projects.

• ✨ Building Tools and Custom Tools for LLM: Learn to create your own custom tools tailored to the specific needs of LLMs.

• 🤖 Creating AI Agents using LangChain: Transform raw data into intelligent actions with LangChain's AI agent capabilities.

• 🤔 Implementing RAG with Vector Stores & Local LLM Embeddings: Understand the critical role of RAG in providing reliable, accurate gatekeeping for your AI applications.

• 🚀 Using AI Agents and RAG with Tooling while building LLM Apps: Integrate RAG systems seamlessly into LLM applications to enhance their functionality.

• 🎢 Optimizing & Debugging AI applications with LangSmith: Enhance your AI applications by using LangSmith for optimization and debugging.

• ✅ Evaluating & Testing LLM applications with RAGAs: Master the art of assessing your LLM applications' performance with RAGAs, ensuring they meet industry standards.

• 🌐 Real-world projects & hands-on testing strategies: Put your newfound knowledge into practice with real-world project exercises and innovative testing strategies.

• ⚡️ Assessing RAG & AI Agents with RAGAs: Learn how to evaluate the effectiveness of your RAG systems using RAGAs, ensuring they are working as intended.

Learning Experience:

This engaging course is meticulously designed for interactive learning within Jupyter Notebooks, fully integrated with Visual Studio Code. You'll have the opportunity to run code in real-time and follow along step-by-step, making the learning experience as seamless and practical as possible. 👩‍💻✨

By completing this course, you will be empowered to build, test, and optimize AI-powered applications with confidence, opening a world of opportunities within the AI development field! 🌍🚀 Enroll now and start your journey towards mastering AI!