About The Program
This 12-week hands-on program is designed to help you acquire essential skills in prompt engineering, AI output evaluation, and advanced techniques like Retrieval-Augmented Generation (RAG). Also, dive into the evolving domain of agentic AI, learning to automate workflows, incorporate expert oversight, and manage multi-agent systems effectively.
What Makes This Program Unique?
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AI Agentic Workflows
This program empowers you to design AI agents and automate workflows using multi-agent setups—skills that are increasingly in demand across industries.
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Weekly Live Mentorship from Experts
Engage in small-group mentorship sessions with top industry experts, where they provide insights and support on the project and real-world case studies.
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Hands-On, Industry Relevant Program
Gain practical experience through hands-on project on AI agents for retail analytics and customer support efficiency with summarization.
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Dedicated Learning Support
Get personalized assistance from Program Managers and benefit from academic support with access to GL Coach, GL Community, project discussion forums, etc.
Skills You Will Gain
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI Workflow Automation
- Expert Oversight
- Multi-Agent Coordination
Tools You Will Learn
- OpenAI API Keys
- Python
- LangChain
- LlamaIndex
- the ReAct Framework
What you will learn in this Program
Master AI Fundamentals
Grasp essential AI and Generative AI concepts, with a focus on how LLMs function in practical scenarios.
Deploy AI Agents
Understand agentic workflows, implement single-agent systems, and multi-agent collaborative workflows.
Build Advanced RAG Systems
Develop systems that retrieve and apply information effectively for accurate question answering.
Enhance Prompting Skills
Craft high-impact prompts and optimize the LLM’s performance using the right evaluation metrics.
Customize AI Solutions
Use LangGraph, LangChain, and CrewAI to build agents, enable function calling, and tailor business applications.
