Skip to searchSkip to main content
SRNTS

Course Overview
​ AI Agent Development Trainingis a hands-on program designed to teach participants how to design, build, deploy, and manage intelligent AI agents capable of automating business tasks, interacting with users, and integrating with enterprise systems. The course covers the complete development lifecycle, including prompt engineering, tool integration, workflow orchestration, memory management, API connectivity, and real-world use cases. Through practical labs and projects, learners gain experience creating production-ready AI agents for customer support, automation, and business productivity.

Audience
Software Developers and Application Engineers
Power Platform Developers
AI and Machine Learning Enthusiasts
Automation Engineers and RPA Developers
Technical Architects and Solution Designers
IT Professionals looking to upskill in AI
Students and Fresh Graduates interested in AI development
Business Analysts involved in intelligent automation projects
Freelancers and Consultants building AI solutions
Anyone interested in creating AI-powered assistants and autonomous workflows

Pre-requisites
Basic understanding of programming concepts (JavaScript, Python, or C# is helpful)
Familiarity with REST APIs and JSON is beneficial
Basic knowledge of cloud platforms or web applications
Understanding of databases and data handling concepts
Interest in Artificial Intelligence and automation
No prior AI agent development experience required; foundational AI concepts will be covered

Key Benefits
Learn to design and build intelligent AI agents from scratch
Understand prompt engineering and context management techniques
Integrate AI agents with APIs, databases, and external tools
Build autonomous workflows for business process automation
Develop conversational assistants and task-oriented agents
Gain practical experience through real-world projects and case studies
Learn best practices for security, governance, and responsible AI
Improve productivity by leveraging AI for repetitive tasks
Create portfolio-ready projects to showcase your skills
Prepare for AI-focused development roles and enterprise automation initiatives

Curriculam

AI Agent Development for Power Platform – 20-Hour Curriculum

Module 1: Introduction to AI Agent Development (2 Hours)

  • Overview of AI agents, autonomous workflows, and the Power Platform ecosystem
  • Key concepts, architecture, and business use cases

Module 2: Prompt Engineering and Agent Design (2 Hours)

  • Writing effective prompts and system instructions
  • Defining agent behavior, goals, and context management

Module 3: Building AI Agents with Copilot Studio (3 Hours)

  • Creating custom AI agents
  • Designing conversational topics and actions
  • Configuring generative responses and workflows

Module 4: Integrating AI Agents with Power Apps (3 Hours)

  • Embedding AI agents into Canvas and Model-driven Apps
  • Connecting with Dataverse and enhancing user interactions

Module 5: Automating Business Processes with Power Automate (3 Hours)

  • Invoking AI agents from flows
  • Automating approvals, notifications, and business tasks
  • Orchestrating end-to-end workflows

Module 6: Data Integration and External Connectivity (2 Hours)

  • Connecting AI agents to Dataverse, SharePoint, SQL Server, and external APIs
  • Using custom connectors and enterprise data sources

Module 7: Security, Governance, and Best Practices (2 Hours)

  • Authentication and authorization
  • Responsible AI, monitoring, and performance optimization
  • Deployment and maintenance considerations

Module 8: Hands-on Capstone Project (3 Hours)

  • Build a complete AI-powered business agent using Copilot Studio, Power Apps, Power Automate, and Dataverse to answer queries, automate processes, retrieve data, and interact with enterprise systems.

Total Duration: 20 Hours