Agentic AI Bootcamp
Here's what you'll learn:
Enroll in this learning track and begin your journey to improving your skills.
Introduction to Large Language Models
Explore large language models, their components, and challenges in enterprise. Learn embeddings, vector databases, and customization techniques for specific tasks.
Transformer and Attention Mechanism
Master the foundations of Transformers and attention mechanisms to power AI applications. Understand tokenization, embeddings, and self-attention to enhance your AI skills.
Introduction to Agentic AI
Explore the evolution of Agentic AI, its capabilities, and its impact on real-world AI systems. Gain insights into building smarter, more autonomous language models.
Mastering LangChain
Mastering LangChain is a course that will teach us how to build context-aware AI apps using LCEL, Runnables, memory, RAG, agents, and LangGraph through real examples in document handling and decision-making.
Context Engineering
Elevate your automation skills by mastering the design of reliable, adaptive agent systems. Create workflows that respond to real-world needs and enable seamless agent collaboration.
A Practical Introduction to Vector Databases
Unlock the power of vector databases. Explore embeddings, optimization techniques, and advanced querying methods to build effective retrieval pipelines for today's applications.
Evaluation of Large Language Models
Learn how to evaluate large language models for accuracy, safety, alignment, and performance using human and automated metrics to ensure reliable, ethical, and high-quality AI systems.
Final Project: Build A Multi-Agent LLM Application
Build and deploy an LLM app by choosing a project: a basic chatbot, a data-powered chatbot agent, or a chat-with-your-data app. Learn CI/CD, cloud deployment, and finish with a real project ready to scale in real scenarios.