Agentic Ai Fundamentals: Creating Autonomous Agents
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 52m | Size: 732.9 MB
Learn to design, orchestrate, and automate AI agents with
Python and Autogen frameworks
What you'll learn
ITEM DETAILS:
Understand the core principles of Agentic AI
Implement multi-agent communication and orchestration
Manage agent workflows with state management and termination logic
Integrate human-in-the-loop for safer AI decisions
Requirements
Basic Python knowledge (variables, functions, loops)
Familiarity with APIs (making simple requests) is helpful but not mandatory
A computer (Windows/Mac/Linux) with internet access
Description
Step into the future of Artificial Intelligence with Agentic AI Fundamentals. This course teaches you how to design, build, and deploy autonomous AI agents using Python, AutoGen, multimodal models, and modern agent orchestration techniques. From async programming to browser automation with Playwright MCP, you'll gain the hands-on skills to create scalable AI systems with human-in-the-loop controls, advanced state management, and multi-agent collaboration.Whether you're a developer, QA engineer, AI enthusiast, or automation architect, this course gives you the tools and practical knowledge to master next-generation AI agent design.Understand the core principles of Agentic AIBuild text and multimodal AI assistants using AutoGenImplement multi-agent communication and orchestrationManage agent workflows with state management and termination logicIntegrate human-in-the-loop for safer AI decisionsExtend AI capabilities with MCP tools and browser automationWho This Course Is ForDevelopers exploring AI agent developmentQA/Test Automation Engineers expanding into AI-powered testingAI enthusiasts wanting to build practical autonomous agentsSolution Architects & Tech Leads adopting multi-agent frameworksCourse ContentModule 1: Foundations of Generative & Agentic AIIntroduction to Generative AIFundamentals of Agentic AIAsync Programming in PythonModule 2: Building Smart AI AgentsCreating a Text AI Assistant using AutoGenDesigning a Multimodal AI AssistantMulti-Agent Collaboration with RoundRobin Group ChatModule 3: Control & Orchestration of AgentsSetting Termination Conditions for AgentsHuman-in-the-Loop InteractionManaging Agent State EffectivelySelectorGroupChat for Intelligent RoutingModule 4: Extending Agents with ToolsAdding MCP Tool in AI AgentsBrowser Automation with Playwright MCP
Who this course is for
Developers exploring AI agent development
QA/Test Automation Engineers expanding into AI-powered testing
AI enthusiasts wanting to build practical autonomous agents
Solution Architects & Tech Leads adopting multi-agent frameworks
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