Course Description
In today’s rapidly evolving AI landscape, automation, and intelligent decision-making are crucial for driving efficiency and innovation. This hands-on course introduces learners to CrewAI, One of the powerful frameworks for building AI agents. You’ll learn to create some basic and smart autonomous agents that perform various tasks! This course is designed to empower beginners and professionals alike to harness the potential of AI in their projects.
Course curriculum
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1
Course Overview
- Course Introduction
- Course Handouts (updated on 2024-12-18)
- Overview of Agentic AI Systems
- Introduction to CrewAI
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2
Core components of CrewAI
- Core Components of CrewAI
- Core Components of CrewAI (Part-2)
- Building Stateful Applications with CrewAI
- Building a Research Assistant in CrewAI
- Building a Research Assistant in CrewAI (Part-2)
- Quiz
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3
What sets CrewAI apart?
- Flow and States management in CrewAI
- Quiz
- Building a Workflow with CrewAI
- Project: Logistics Optimization Analysis with Crew AI
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4
Your Experience Matters!
- Please share your valuable experinece with us
Who Should Enroll
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Professionals: Individuals looking to expand their skill set on AI agents and explore different frameworks of AI agents.
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Aspiring Students: For those on their journey to mastering AI Agents, ready to explore different frameworks and make a mark in the tech world.
Key Takeaways
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You will have a basic understanding of the CrewAI framework.
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In-depth Exploration of core components of CrewAI.
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Hands-On Training with CrewAI
About the Instructors
Alessandro Romano - Senior Data Scientist, Kuehne+Nagel
Alessandro Romano is a Senior Data Scientist at Kuehne + Nagel and an accomplished public speaker. With over five years of experience in data analysis, he brings deep technical expertise in implementing large language model (LLM) - based solutions across diverse industries.
About the Instructors
Apoorv Vishnoi - Head of Training, Analytics Vidhya
Apoorv Vishnoi is the Head of Training at Analytics Vidhya. With over a decade of experience in AI, he has held diverse roles, including developing AI models to address industry challenges, advising companies on implementing AI processes and teaching AI to CXOs, professionals, and Parliamentarians.
FAQ
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What is CrewAI?
CrewAI is a framework that organizes AI agents into teams, or “crews,” with specialized roles. By defining specific roles and goals for each agent, CrewAI facilitates seamless interaction and decision-making, enhancing the team's collective problem-solving abilities.
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What can CrewAI do?
CrewAI enables the creation of collaborative multi-agent AI systems designed to execute complex automation workflows.
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What are the main components of crewAI?
CrewAI is structured around three key components: agents, tasks, and crews. Agents autonomously execute specific tasks, tasks outline the work to be completed, and crews are collaborative groups of agents working together to achieve a common goal.
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What is the difference between CrewAI and Autogen?
In Autogen, orchestrating agent interactions requires additional programming, which can become complex and cumbersome as the scale of tasks increases. In contrast, CrewAI offers a simplified implementation for multi-agent AI systems.
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Does this course include a certificate of completion?
Yes, you will receive a certificate of completion upon successfully finishing the course and all associated assessments.