Disclaimer: This is an advanced-level course for students who have already completed the Introduction to AI Pipelines course. It assumes a solid understanding of AI basics, chatbot development, and prompt engineering.
In this dynamic and challenging course, students will dive deeper into the world of Artificial Intelligence by building sophisticated AI systems. Participants will explore advanced AI pipelines, learn to integrate multiple tools, and gain hands-on experience with cutting-edge technologies that professionals use. This course is designed to take your AI skills to the next level, equipping you to build more complex AI solutions for real-world applications and hackathons.
Students Will Learn:
- Advanced Prompt Engineering: Refine your ability to design precise prompts that optimize AI responses, gaining insight into tokenization and advanced prompt frameworks.
- LangChain for Advanced Pipelines: Explore LangChain, a powerful tool for building multi-step AI workflows. Learn how to chain multiple AI processes together for more intricate system designs.
- Inference Tracking with LangSmith: Keep track of your AI's decision-making process with LangSmith, ensuring your system performs accurately and efficiently.
- RAG Pipelines: Build a Retrieval-Augmented Generation (RAG) pipeline, connecting your AI to a vector database to improve its ability to retrieve and generate information.
- ReAct Pipelines: Create ReAct pipelines that connect your chatbot to Google Search API, allowing it to pull real-time information and offer more dynamic responses.
The course culminates in a hackathon, where students will apply everything they’ve learned to create their own advanced AI project. Under the guidance of instructors, students will experiment with AI pipelines, integrate tools like LangChain, and compete for the most innovative solution. The winner will receive OpenAI API credits worth $25, providing them the opportunity to deploy their project in the real world.
This course offers a deep dive into advanced AI techniques, focusing on real-world tools and professional-grade systems. Students will leave not only with enhanced AI skills but also with the ability to build, deploy, and scale complex AI pipelines that can be used in hackathons or professional projects. The hands-on experience with LangChain, LangSmith, and real-time data integration sets this course apart, giving students the tools to excel in the evolving AI landscape.
LUNCH: Students staying for full day or for both morning and afternoon sessions can bring or buy their lunch. All students will eat lunch on Campus in The Commons, a small food court.
