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Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks

 

Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks is an advanced, hands-on course designed to teach you how to build autonomous AI systems capable of reasoning, planning, retrieving information, and executing multi-step tasks with minimal human intervention. This course demystifies agentic architectures and equips you with the skills needed to design intelligent agents powered by large language models, tool integrations, and dynamic workflows.

 

Through structured lessons and real-world projects, you’ll learn how to architect agent systems that combine LLMs, function calling, memory, RAG, APIs, and custom tools. You’ll build agents that can perform research, analyze data, automate workflows, interact with applications, and make informed decisions—unlocking new levels of automation and intelligence in your applications.

 

What You’ll Learn

  • Core concepts of agentic AI systems and autonomous task execution

  • Designing multi-step reasoning and planning workflows for agents

  • Function calling, tool use, and structured action execution

  • Integrating agents with external APIs, databases, and business systems

  • Building RAG pipelines to enable factual, context-rich agent behavior

  • Implementing short-term and long-term memory for persistent agents

  • Managing agent safety, reliability, evaluation, and observability

  • Deploying automated agents into real applications and business operations

 

Who This Course Is For

  • AI engineers, developers, and technical professionals

  • Data scientists expanding into agent-based systems

  • Automation specialists and workflow engineers

  • Product teams building intelligent, self-directed applications

  • Anyone looking to harness cutting-edge AI to perform complex tasks autonomously

 

Course Outcomes

By the end of this course, you will be able to:

  • Design, build, and deploy fully autonomous AI agents

  • Implement tool use, memory, RAG, and structured planning

  • Integrate agents with real-world applications and data systems

  • Build multi-step workflows that agents can complete independently

  • Evaluate and optimize agent behavior for accuracy, safety, and reliability

  • Create production-ready agentic AI solutions for business and technical use cases

Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks

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