Overview
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This specialization offers a hands-on introduction to building Agentic AI systems using LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP). Learn to create autonomous AI agents, orchestrate multi-agent workflows, integrate AI with enterprise tools and services, and develop scalable AI applications. Explore agent collaboration, workflow automation, and enterprise deployment strategies to build intelligent systems that drive business outcomes. By the end of this program, you will be able to: - Build Agentic AI Systems: Create autonomous AI agents that can reason, plan, and execute tasks - Orchestrate Multi-Agent Workflows: Use LangGraph, AutoGen, and CrewAI to coordinate intelligent agent collaboration - Integrate AI Applications: Connect AI systems with APIs, tools, and services using MCP and enterprise integration practices - Deploy Enterprise AI Solutions: Develop scalable and production-ready Agentic AI applications for business use cases Ideal for beginners, software developers, AI practitioners, automation professionals, solution architects, and technology leaders looking to build skills in Agentic AI, multi-agent systems, AI orchestration, and enterprise AI development.
Syllabus
- Course 1: Foundation of Agentic AI and LLM Architecture Training
- Course 2: Master LangGraph Agents for Enterprise Automation Training
- Course 3: Build Multi-Agent Systems with AutoGen for Beginners
- Course 4: Orchestrating Agent Teams with CrewAI Training for Beginners
Courses
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This certificate for AutoGen Multi Agent Systems Training validates your expertise in building intelligent AI agents, multi agent collaboration, workflow orchestration, and enterprise AI automation. You demonstrate the ability to design context aware agent systems, implement multi step reasoning, enable agent communication, automate task delegation, and develop scalable AI powered solutions using AutoGen and LangGraph workflows.
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This comprehensive Agentic AI and LLM Agents course builds strong expertise in autonomous AI systems, intelligent workflows, and enterprise AI orchestration using modern LLM-powered architectures. You learn the foundations of Agentic AI, LLM agent architectures, workflow orchestration, multi-agent collaboration, enterprise AI readiness, implementation strategies, and AI-driven automation through practical insights and real-world enterprise scenarios. The course shows how intelligent AI agents operate across business workflows, support decision-making, improve operational efficiency, and drive enterprise transformation using next-generation AI systems. By the end of this course, you will be able to: - Understand Agentic AI Foundations: Explore autonomous AI systems and AI agent evolution - Analyze LLM Agent Architectures: Learn perception, cognition, and action modules - Orchestrate Intelligent Workflows: Understand multi-agent collaboration and automation - Evaluate Enterprise AI Readiness: Assess implementation strategies and deployment challenges - Compare LLM Agent Frameworks: Identify suitable frameworks for enterprise use cases - Drive AI-Powered Transformation: Apply AI agents for business efficiency and innovation - Explore Future AI Trends: Understand the evolving impact of intelligent AI systems Ideal for technology professionals, AI enthusiasts, business leaders, enterprise architects, product managers, and professionals exploring Agentic AI and intelligent enterprise automation.
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This comprehensive LangGraph and Intelligent AI Workflow Automation course builds strong expertise in AI workflow orchestration, LLM agent architectures, and enterprise AI automation using LangGraph. Learn LangGraph workflows, AI agents, nodes, edges, routing, prompt chaining, conditional execution, and parallel processing through practical enterprise scenarios. Explore collaborative AI systems, augmented LLMs, and intelligent automation workflows that improve decision-making, streamline operations, and drive scalable AI-powered enterprise transformation. By the end of this course, you will be able to: - Understand LangGraph Foundations: Explore workflows, agents, nodes, and edges - Analyze LLM Agent Architectures: Learn collaborative AI systems and execution models - Orchestrate Intelligent Workflows: Implement routing, conditional execution, and automation - Build Scalable AI Systems: Apply parallel processing and workflow optimization techniques - Implement Prompt Chaining: Automate AI-driven tasks using LangGraph workflows - Explore Augmented LLMs: Understand advanced AI workflow patterns and orchestration - Drive Enterprise Automation: Apply intelligent AI workflows for operational efficiency Ideal for technology professionals, AI enthusiasts, developers, enterprise architects, product managers, and professionals building intelligent AI workflows and enterprise automation systems.
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This certificate for Orchestrating Agent Teams with CrewAI for Beginners validates your expertise in building intelligent AI agents, task management, crew orchestration, and workflow automation. You demonstrate the ability to create collaborative agent teams, develop custom tools, manage AI workflows, coordinate task execution, and build scalable AI-powered solutions using CrewAI and Streamlit.
Taught by
Priyanka Mehta