Building AI Products and Services

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If you are a technology professional or entrepreneur in the artificial learning or AI product management field, this program is designed to enhance your grasp of AI design principles and their applications across multiple industries. The aim is to enable you to develop a compelling AI-based product proposal that you can present to internal stakeholders or investors. Through the Building AI Products and Services Program, you will gain knowledge of the different stages involved in designing AI products, learn the core concepts of machine learning and artificial intelligence and deep learning algorithms, and apply this knowledge to address real-world problems. This global artificial intelligence program, offered by MIT xPRO, will elevate your expertise in AI product development. You'll explore cutting-edge innovations like Agents and Retrieval-Augmented Generation (RAG) in a live session with Dr. Brian Subirana, gaining real-world insights into the future of AI product design. 

The program is ideal for:

• Technical Product Managers in charge of machine learning and AI-based products in their organizations who are looking to add value to their organization by leveraging the latest in AI technologies.

• Technology Professionals who design and develop technology solutions aligned to organizations’ needs and are looking to broaden their understanding of developing AI-based solutions using machine learning algorithms.

• Technology Consultants who focus on the analysis, design, and development of technology solutions for clients.

• Founders of AI Startups that build AI-driven applications and want to learn a proven framework for developing viable AI products and network with other technologists.

• UI/UX Designers responsible for managing user experience of AI-based applications.

• Categorize Different Machine Learning Algorithms:

  Classify and describe various machine-learning algorithms, such as supervised, unsupervised, and reinforcement learning, highlighting their unique characteristics and applications.

• Categorize Different Convolutional/Deep/Recurrent Neural Network Algorithms:

  Distinguish between different types of neural networks, including convolutional neural networks (CNNs), deep neural networks (DNNs), and recurrent neural networks (RNNs), explaining their structures, functionalities, and use cases.

• Categorize Generative AI technologies:

  Understand the architectures underlying transformer and other generative AI approaches to be able to critically assess when to use them in a given business context.

• Evaluate the Four Stages of the AI Design Process Model:

  Critically assess the four key stages of the AI design process, discussing their significance, challenges, and best practices for successful implementation.

• Explain How Humans and Computers Interact in AI:

  Analyze the interaction between humans and computers in AI systems, focusing on how human input, oversight, and collaboration enhance AI performance and decision-making.

• Describe How Different Types of Superminds Address Various Problems:

  Illustrate the concept of superminds—groups of individuals and machines working together—and how different configurations of superminds can effectively tackle diverse problems.

• Predict AI Opportunities in Digital Business Processes:

  Identify and forecast potential AI-driven opportunities within digital business processes, emphasizing areas where AI can drive innovation, efficiency, and competitive advantage.

• Build a Business Case for Initiating an AI Application:

  Develop a comprehensive business case for the initiation of an AI application, including cost-benefit analysis, strategic alignment, risk assessment, and an implementation roadmap.

Agentic AI, RAG, and the Future of Scalable AI

In this live session, Dr. Brian Subirana explores AI agents including, Retrieval-Augmented Generation (RAG) techniques, the Model Context Protocol (MCP), and the future of scalable AI design. Using real-world examples, including Open Source LLMs, LangChain and Amazon case studies, the session covers technical best practices, business deployment challenges, and emerging trends shaping intelligent AI systems.

Registration for this program is done through Emeritus. You can contact us at mit.xpro@emeritus.org

This program is open for enrolments for residents of India, Bangladesh, Bhutan, Myanmar, Nepal, Pakistan, Sri Lanka, Philippines, Indonesia, Thailand, Vietnam and Malaysia only.

Note:

Learning facilitator details and office hour dates and timings are from previous batches. The learning facilitators may change for upcoming batches based on availability and the office hour timings and dates may be changed based on a mutually decided schedule between Emeritus and the Learning facilitator.

*Mentioned timelines are tentative.

15 recorded sessions and resources in the following categories

(Please note: These sessions are not live)  

• Resume And Cover Letter Building  

• Job Search Navigation  

• Interview Preparation  

• LinkedIn Profile Optimization  

• Access To Interview Preparation Guidebooks in Business Analytics and Data Science, Digital Marketing, And Product Management 

Didn't find what you were looking for? Write to us at mit.xpro@emeritus.org or Schedule a call with one of our Program Advisors or call us at +91-7483552829

Note:

Learning facilitator details and office hour dates and timings are from previous batches. The learning facilitators may change for upcoming batches based on availability and the office hour timings and dates may be changed based on a mutually decided schedule between Emeritus and the Learning facilitator.

*Mentioned timelines are tentative.