Applied AI Bundle - Generative and Agentic AI

The Applied AI Bundle - Generative and Agentic AI from MIT Professional Education is designed to help decision-makers understand how generative and agentic AI are reshaping organizations and how these technologies can be applied across strategy, operations, workflows, and governance. 

Through the Applied AI for Digital Transformation course and the Applied Agentic AI for Organizational Transformation course, participants explore AI foundations, prompt engineering, automation systems, enterprise integration, governance frameworks, and organizational readiness. 

Participants engage in expert-led sessions, practical exercises, real-world examples, and capstone experiences designed to translate AI concepts into actionable business outcomes. Participants also examine the ethical, legal, and operational implications of AI systems, including bias, misinformation, compliance requirements, and responsible AI implementation. 

Whether you are leading digital transformation initiatives, evaluating AI opportunities, modernizing workflows, or guiding organizational strategy, this bundle equips you with the frameworks and practical understanding required to move from AI awareness to enterprise adoption. 

The Applied AI Bundle - Generative and Agentic AI, with curriculum developed and taught by MIT instructors, is delivered in collaboration with Global Alumni. Contact Global Alumni for more information about this bundle: 
professionalprograms@mit.edu 
Call: +1 (315) 602 3089 

Global Alumni is an ed-tech company that collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support.

By the end of each course, participants will be able to: 

Applied AI for Digital Transformation

• Design an AI opportunity map and adoption roadmap with risks and success metrics.
• Assess where generative AI creates value and evaluate feasibility and ROI.
• Apply prompt engineering to automate executive and team workflows.
• Evaluate ethical risks and align governance with recognized frameworks.
• Distinguish key AI capabilities including LLMs, RAG, agents, and multimodal systems.
• Develop an AI adoption framework with change management and stakeholder alignment.
• Analyze workforce and economic impact to inform strategy and organizational design.
• Explain the foundations and business relevance of generative AI.

Applied Agentic AI for Organizational Transformation

• Explain the fundamentals of generative and agentic AI, including architectures and use cases.
• Assess how AI improves business outcomes across workflows and customer engagement.
• Integrate AI systems into digital ecosystems using cloud, APIs, and enterprise platforms.
• Evaluate AI platforms for strategic fit, capabilities, and risk.
• Develop agent-based solutions for multi-step workflows and automation.
• Navigate governance, compliance, and ethical deployment requirements.
• Build a strategic AI roadmap with an actionable adoption plan or executive presentation.

This Applied AI Bundle - Generative and Agentic AI is designed for mid- to senior-level professionals responsible for evaluating, implementing, or leading AI initiatives within their organizations. Professionals who may benefit include:

• C-suite executives and senior leaders making informed decisions on AI strategy, investment, and integration Business leaders and functional heads driving innovation across operations, marketing, product, and strategy
• Senior and mid-career professionals seeking to apply AI across workflows, functions, and organizational initiatives
• Technology leaders and technical professionals transitioning into AI and digital transformation leadership roles
• Managers and team lead modernizing workflows and aligning teams with emerging technologies
• Innovation, product, sales, marketing, and customer experience professionals leveraging AI to build new solutions and enhance engagement
• Consultants, advisors, and investors evaluating AI opportunities and guiding organizations through AI-driven change

*No prior background in analytics, computer science, coding, or machine learning is required.