Master AI Agent Development with Microsoft Autogen: Course Launch!
- Authors
- Published on
- Published on
Krish Naik, the man with a plan, is here to announce a thrilling new Udemy course on crafting AI agents and agentic AI systems using the powerful Microsoft Autogen. This course delves deep into various frameworks, from langraph to Autogen, ensuring you're equipped to conquer the world of agentic AI. Priced at a mere 3.99 rupees, this course offers a lifetime of knowledge and a safety net with a 30-day refund policy. Get ready to unleash the power of AI as you learn to build robust agents, automate tasks, and create cutting-edge agentic AI systems with Autogen at the helm.
Krish Naik's course is a treasure trove of wisdom, teaching you to develop autonomous agents, master interactions with Autogen, and design custom chatbots that will revolutionize the AI landscape. From coding to decision-making, this course covers it all, culminating in the deployment of real-world multi-agent workflows that will leave you spellbound. With prerequisites including Python proficiency and a dash of paidentic, you'll embark on a journey through projects, use cases, and performance metrics that will elevate your AI game to new heights.
For those lucky souls who have been part of Krish Naik's agentic AI live classes, rejoice! The course is a gift, bestowed upon you for free as a token of appreciation. Dive into the world of AI armed with Python prowess, modular coding skills, and an understanding of LM and generative AI models. Krish Naik ensures that every topic is covered crisply and in detail, offering a wealth of resources and materials for a steal at just 399 rupees. This exclusive offer is a limited-time deal, so seize the opportunity to transform your AI journey under the expert guidance of Krish Naik.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Building AI Agents & Agentic AI System via Microsoft AutoGen Udemy Course Is Live!! on Youtube
Viewer Reactions for Building AI Agents & Agentic AI System via Microsoft AutoGen Udemy Course Is Live!!
Request for a course on Microsoft Semantic Kernel for developing agentic AI systems
Appreciation for AI agents coming alive with Microsoft's AutoGen
Inquiry about course roadmap and where to start
Question on whether to prefer the langgraph course or the Microsoft course as a beginner
Inquiry about the next batch of big data engineering course
Concern about the reason for having AutoGen on Azure instead of using the open-source version
Suggestion to integrate with previous Agentic AI course
Request for a quantum computing course
Inquiry about the need for coding knowledge in the course
Appreciation and subscription to the channel
Related Articles
Mastering AI Debugging: Langsmith API Keys and State Graph Creation
Join Krish Naik in exploring advanced lag graph concepts like debug and monitoring in AI applications. Learn to obtain and use langsmith API keys for effective tracking within the lang ecosystem. Master the art of state graph creation for seamless monitoring and debugging.
Mastering Generative AI and Agent Engineering Projects with Krish Naik
Join tech guru Krish Naik on a captivating exploration of generative AI and agent engineering projects. Learn about RAG chatbots, agentic RAGs, AI agents, MCP servers, and essential skills like debugging and deployment. Elevate your tech game with Krish Naik's expert insights.
Master Agentic AI with Langgraph: Crash Course in Building Chatbots
Learn to build agentic AI applications using Langgraph in a comprehensive crash course. Explore fundamental techniques, advanced concepts, and end-to-end projects to master the art of creating chatbots and deploying production-grade applications.
Mastering MCP Server Creation: Langchin, Langraph, and Transport Protocols
Learn to build MCP servers from scratch using Langchin and Langraph libraries. Explore HTDO and HTTP transport protocols for seamless communication. Krish Naik's tutorial offers invaluable insights for developers entering the MCP domain.