Module 1: Introduction to agentic AI business solutions
Learn to align AI solutions with business goals and scale AI adoption using Microsoft technologies.
Module 2: Analyze requirements for AI-powered business solutions
Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.
Module 3: Design overall AI strategy for business solutions
Learn to design an enterprise AI strategy using Azure's Cloud Adoption Framework, aligning AI agent lifecycle with business goals for operational excellence.
Module 4: Evaluate costs and benefits of AI solutions
Learn to assess costs, benefits, and ROI of AI solutions while deciding whether to build, buy, or extend AI components for business processes.
Module 5: Design AI agents for business solutions
Learn to design AI agents tailored to business needs using Dynamics 365 and Copilot.
Module 6: Design extensibility of AI solutions
Learn to design scalable, secure, and customizable AI solutions using Microsoft platforms.
Module 7: Orchestrate configuration of prebuilt agents and apps
Learn to orchestrate, configure, and extend AI-driven experiences in Dynamics 365 and Microsoft 365 Copilot.
Module 8: Monitor, analyze, and tune AI agents
Learn to ensure AI agents operate reliably, deliver high-quality outcomes, and continuously improve in enterprise environments.
Module 9 : Manage testing AI-powered business solutions
Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance.
Module 10: Design ALM process for AI-powered business solutions
Learn to design ALM processes for AI solutions, ensuring governance, security, and consistency across environments.
Module 11: Design responsible AI security, governance, risk management, and compliance
Learn to design secure, governed, and compliant AI systems that align with organizational policies and Responsible AI principles.