Karthik KK

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

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AI Agents · Online Course

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

Unlock the power of offline AI development with Karthik KK's comprehensive guide on building and testing AI Agents, Chatbots, and Retrieval-Augmented Generation (RAG) pipelines locally. Designed for developers prioritizing privacy and cost-efficiency, this course guides you through running local Large Language Models (LLMs) using Ollama on your personal machine. You will dive deep into LangChain to orchestrate complex chains, prompt templates, and conversational histories. Step-by-step, you will construct responsive chatbots that maintain context, build robust RAG systems integrated with local vector databases, and implement embeddings for semantic search. Moving beyond basic chatbots, the curriculum teaches you how to empower your models with tool-use capabilities to create autonomous AI Agents. Finally, you will master the crucial stage of LLM application development: evaluation. Using LangSmith and the RAGAs framework, you will learn to rigorously test, trace, and optimize your local AI agents and RAG pipelines. This course is an invaluable resource for software engineers, AI developers, and tech enthusiasts looking to build secure, production-grade local AI solutions without relying on expensive cloud APIs.

Best For

Developers looking to build AI applications while maintaining strict data privacy Software engineers aiming to reduce operational costs by deploying LLMs locally AI enthusiasts who want hands-on experience with LangChain and vector databases Engineers focused on production-grade testing and evaluation frameworks like RAGAs

Not For

Beginners with no prior experience in Python programming or foundational AI concepts Learners exclusively interested in cloud-based API solutions like OpenAI or Anthropic Users lacking access to hardware capable of running local Large Language Models

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About the Creator

is a dedicated technical educator and software engineering professional recognized for his pragmatic approach to teaching complex AI and automation concepts. With a strong focus on bridging the gap between theoretical machine learning and practical application, Karthik has become a trusted voice for developers and testers aiming to modernize their skill sets. His instructional methodology prioritizes hands-on experience, ensuring that students do not just watch lectures, but actively build, test, and deploy functional AI-driven solutions. He specializes in integrating advanced technologies like local LLMs, Ollama, and sophisticated browser automation frameworks into real-world software testing pipelines. By focusing on essential tools like Playwright and Selenium, he helps professionals transition from traditional scripting to autonomous test generation. Karthik is particularly noted for his emphasis on accessibility in technology, often demonstrating how to leverage Generative AI to write software tests in plain English. His content is designed for those who seek to stay ahead of the curve in an rapidly evolving tech landscape, making the power of AI agents and local infrastructure both understandable and highly actionable for software testers at every career stage.

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