What Is a Systems Engineer (and How Do I Become One)?
January 16, 2025
Article
(113 reviews)
Recommended experience
Beginner level
For those who have taken prompt engineering courses, have some familiarity with basic coding, and want to incorporate LLMs in professional work.
(113 reviews)
Recommended experience
Beginner level
For those who have taken prompt engineering courses, have some familiarity with basic coding, and want to incorporate LLMs in professional work.
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 to automate repeatable, multi-step tasks; and automate business processes that are typically done by a group of people.
Define a specific role for each agent, which breaks down multi-step tasks and assigns them to agents that are customized to perform tasks.
Only available on desktop
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: 1. Role-playing: Assign specialized roles to agents 2. Memory: Provide agents with short-term, long-term, and shared memory 3. Tools: Assign pre-built and custom tools to each agent (e.g. for web search) 4. Focus: Break down the tasks, goals, and tools and assign to multiple AI agents for better performance 5. Guardrails: Effectively handle errors, hallucinations, and infinite loops 6. 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: 1. Tailor resumes and interview prep for job applications 2. Research, write and edit technical articles 3. Automate customer support inquiries 4. Conduct customer outreach campaigns 5. Plan and execute events 6. 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.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
113 reviews
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12.82%
1.70%
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1.70%
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Reviewed on Dec 21, 2024
It was an excellent start to deep learning with AI through Crewai.
Reviewed on Jun 23, 2024
Well structured, easy to understand. Demonstrates how top of the notch LLMs capabilities like ChatGPT can be best utilsed.
Reviewed on Jul 11, 2024
Highly recommended, a great practical approach to this fundamental field in GenAI.
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