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







