Designing and Building AI Products and Services

If you are a professional or an entrepreneur working in the field of artificial intelligence (AI), this program will help you understand technology and business design principles and applications of AI across various industries and organizational functions. The goal is for you to create an AI-based product proposal, which can be presented to your internal stakeholders or investors. You will learn the various stages involved in the design of AI-based products, and the fundamentals of machine and deep learning algorithms, and apply the insights to solve practical problems. You will also be exposed to the latest industry trends in Agents and Retrieval-Augmented Generation (RAG) in a live session with program faculty Dr. Brian Subirana, gaining perspective on the latest directions of AI product design.

This 8-week course is ideal for you if you are a technical product leader, technology professional, technology consultant, or entrepreneur who wants to enhance your understanding of AI technology fundamentals and tools, and explore various design processes involved in AI-based products. Knowledge of calculus, linear algebra, statistics, and probabilities is beneficial, along with basic Python experience. The program is ideal for:

• Technical Product Managers & Leaders 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 & Leaders responsible for managing user experience of AI-based applications.

• Jaguar Land Rover Italia s.p.a.

• Apple

• Microsoft

• Ecoplexus

• Accenture

• Zebra Multimedia

• MSC CRUISES

This program is designed to equip you with the skills to broaden your understanding of AI-based solutions and Gen AI.

The program will help you to:

• 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.

Climb Credit*

We offer financing options with our partner, Climb Credit*. Click here to learn more.

Flexible Payment Options For All

Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Academic Advisors or call us at +1 401 443 9591 (US) / + 44 189 236 2347 (UK) / +65 3129 7174 (SG)