Integrating AI Agents into Software Development Workflows

Master AI Agents & Build Real Systems with Tools, Memory, Handoffs, and Guardrails.

What you’ll learn
Build AI agents in Python using OpenAI Agents SDK with Memory and Tools.
Build a travel planner AI Agent that creates an itinerary based on user preferences.
Inspect the agent’s behavior using traces on the OpenAI API platform.
Master best practices in creating Autonomous AI Agents
Master the art of Prompt Engineering & Setting Up Agent Instructions
Understand the Key components of an Effective AI Agent System Prompt (Context, Instruction, Input, & Output Indicator)
Test AI agents and watch it run using the Runner class
Design & build a personal finance AI agent with memory that can recall user preferences, past tasks, & ongoing conversations to deliver personalized experiences
Integrate SQLite-based session storage to enable persistent memory for agents
Test and compare agent behavior before and after adding memory to evaluate improvements in context retention.
Build AI agents that integrate built-in tools (like Code Interpreter) and custom FunctionTools for real-time search & data retrieval
Combine search, memory, and decision-making to run a full end-to-end AI agent workflow.
Build a manager function to orchestrate multi-agent workflows from input to final deliverable.
Implement agent collaboration by passing outputs from one agent to another in a structured workflow.
Create modular AI agents (Researcher, Analyst, Writer) with specialized roles for information gathering, analysis, and reporting.
Implement guardrails to enforce boundaries, such as preventing responses on restricted topics (e.g., politics).
Build handoff mechanisms that transfer context and inputs smoothly between agents
Create a tool as an agent by wrapping an autonomous agent behind a function-tool interface, allowing it to be invoked seamlessly by other agents.

Requirements
No programming Skills are Required.
You will need a laptop and an internet connection!

Description
AI is transforming every industry. And the biggest advantage today isn’t just using AI, it’s knowing how to build production-grade autonomous AI agents that think, remember, make decisions, and plug directly into your software workflows.In this course, you’ll learn the core components of AI agents, including reasoning, memory, tools, planning, and guardrails and see how they can automate and enhance tasks across the development lifecycle. We’ll also cover essential best practices for identifying when and where to use AI agents, preparing your data and architecture for safe integration, and mitigating common risks such as hallucinations, insecure tool execution, and misuse. You’ll learn how to apply governance principles, set guardrails, and monitor agent behavior to ensure reliability, safety, and maintainability.By the end of the course, you will be able to:Understand how AI agents function under the hoodIntegrate agents into software development workflows to automate high-value tasksUse tools, memory, and planning to build more capable and context-aware agentsDesign safe interactions with guardrails, validated inputs, and controlled executionApply risk mitigation and governance principles for secure, responsible agent deploymentThis course is ideal for developers who want a practical, code-oriented introduction to AI agents and how to incorporate them into real engineering workflows without needing prior experience in agent architecture or ML engineering.

Who this course is for
Software developers with basic Python skills who want to integrate cutting-edge LLMs and agent frameworks into real-world applications.
Data scientists, ML engineers, and AI researchers who want to build AI Agents.
Entrepreneurs and startup Founders wanting to build AI-powered autonomous agents.
Advanced students and educators looking for practical, hands-on experience with Agentic AI Engineering.
Corporate innovation teams or R&D teams wanting to prototype AI-powered workflows, assistants, and automations.

https://www.udemy.com/course/ai-agents-masterclass/