
Agentic Ai From Scratch With Crew Ai & Autogen
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Master the Fundamentals of Agentic AI, Build Real-World Projects, and Explore Ethical Implications for Future AI Systems
What you’ll learn
Learn how AI agents differ from traditional automation and why agency is crucial in modern AI systems.
Understand their applications across industries and real-world case studies.
Develop AI agents for decision-making and hiring automation using Crew AI.
Master Autogen Studio for code optimization, content generation, and creative problem-solving.
Requirements
No prior knowledge required, everything is shown step by step.
Description
Overview
Section 1: Introduction to Agentic AI and Course Overview
Lecture 1 What’s in this course?
Section 2: Foundations of Agentic AI
Lecture 2 Key Concepts and Fundamentals
Lecture 3 Real-World Examples of Agentic AI in Action
Lecture 4 Types of AI Agents: Reactive, Goal-Based, Utility-Based, and Learning Agents
Lecture 5 The Role of Agency in AI Systems
Lecture 6 Agency vs. Automation: Key Differences
Lecture 7 How Agentic AI Works: Core Principles and Mechanisms
Section 3: Building AI Systems with Crew AI
Lecture 8 Expert Insights: Video Lecture on Crew AI
Lecture 9 Setting Up Crew AI: Installation and Configuration
Lecture 10 Hands-On Project 1: Financial Decision-Making System with Crew AI
Lecture 11 Hands-On Project 2: AI-Powered Hiring System with Crew AI
Section 4: Creative Problem-Solving with AutoGen
Lecture 13 Setting Up AutoGen Studio: Installation and Configuration
Lecture 14 Hands-On Project 1: Code Optimization with AutoGen Studio
Lecture 15 Hands-On Project 2: Personalized Content Generator with AutoGen Studio
Section 5: Ethical and Future Considerations in Agentic AI
Lecture 16 Bias, Fairness, and Transparency in AI Systems
Lecture 17 The Future of Human-Agent Collaboration
Anyone who is eager to learn

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