Duration: 4h16m | .MP4 | 720p | Language: English
Learn RAG and how to build chatbots with Langchain, Pinecone and OpenAI
What you’ll learn
RAG: Train your AI to chat with your data (PDF, JSON, Youtube, Docs & more)
Launch & use Vector DBs for long-term chatbot memory
Building Semantic Search Systems: Learn how to construct AI-powered search systems that go beyond keywords
Scalable Knowledge Bases: Build knowledge bases that can scale with user growth and data volume
Some experience in React JS or Next JS is helpful
General awareness of ChatGPT and or OpenAI
Welcome to the future of AI-driven web apps, where every line of code tells a story and every project is a step closer to legend status.
At this point in the game, AI isn’t just an abstract concept—it’s an integral part of our everyday experiences. Whether it’s recommending that perfect song or assisting in complex tasks, AI is transforming our interactions. And here’s your golden ticket to ride the crest of this transformational wave.
Why This Course?
Hands-On Learning: Code alongside Cam. Begin from scratch and unravel the intricacies of AI in digestible chunks, ensuring every lesson sticks.
Real-World Application: By the course’s end, you’ll have an AI chatbot uniquely attuned to your data, ready to take on the world. And remember, whenever you’re in doubt, the Code Tutor Chatbot has your back.
Practical AI Tools & Frameworks:
Rapidly build with LangChain, a dynamic AI framework supporting models on giants like OpenAI and HuggingFace.
Deploy without a hitch using
Vercel, ensuring your AI applications reach users effortlessly.
Engage in insightful AI-driven chats.
Elevate your tasks with autonomous AI agents.
Showcase your AI marvels for potential employers or customers.
Harness a vast array of AI tools, boosting your development prowess.
Who’s This For?:
Looking to craft with OpenAI and Langchain using NextJS? Step right in!
Jump into the realm where legends are made. Secure your seat, and let’s craft some AI magic!
Who this course is for:
React developers, interested in creating Langchain projects with NextJS