Beginner
1 Hour
João Moura
Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.
Use an open source library, crewAI, to automate repeatable, multi-step tasks like tailoring a resume to a job description; and automate business processes that are typically done by a group of people, like event planning.
By creating a team of AI agents, you can define a specific role, goal, and backstory for each agent, which breaks down complex multi-step tasks and assigns them to agents that are customized to perform those tasks.
What you’ll learn in this course
Learn key principles of designing effective AI agents, and organizing a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate 6 common business processes.
Learn from João Moura, founder and CEO of crewAI, and explore key components of multi-agent systems:
- Role-playing: Assign specialized roles to agents
- Memory: Provide agents with short-term, long-term, and shared memory
- Tools: Assign pre-built and custom tools to each agent (e.g. for web search)
- Focus: Break down the tasks, goals, and tools and assign to multiple AI agents for better performance
- Guardrails: Effectively handle errors, hallucinations, and infinite loops
- Cooperation: Perform tasks in series, in parallel, and hierarchically
Throughout the course, you’ll work with crewAI, an open source library designed for building multi-agent systems. You’ll learn to build agent crews that execute common business processes, such as:
- Tailor resumes and interview prep for job applications
- Research, write and edit technical articles
- Automate customer support inquiries
- Conduct customer outreach campaigns
- Plan and execute events
- Perform financial analysis
By the end of the course, you will have designed several multi-agent systems to assist you in common business processes, and also studied the key principles of AI agent systems.
Who should join?
If you’ve taken some prompt engineering courses, have some familiarity with basic coding, and want to incorporate LLMs in your professional work, then this course is designed for you!
Instructor
Course access is free for a limited time during the DeepLearning.AI learning platform beta!
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