PRODUCT MANAGEMENT FOR AI & ML
4th March 2024
LIVE ONLINE COURSE ON PRODUCT MANAGEMENT FOR AI & ML
DATES:
18th Jan -
4th March 2024
DURATION:
7 WEEKS
MONDAYS & THURSDAYS
6 PM GMT
Learn the practical tools needed to progress to an AI Product Manager Role. Understand the landscape of the AI/Machine Learning industry and identify how to deliver value to customers by combining product strategy with AI and ML technology.
Join Ashwin Payyanadan, Senior Product Manager at Amazon, for this deep dive into identifying the importance of data, creating business cases for AI, and designing and executing AI/ML experiments.
WHO THIS COURSE IS FOR
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YOU WANT TO
Transfer into a well paid, fully fledged role within the AI/ML industry. Gain a deeper understanding of the current and future landscapes of the ML/AI industry and its relevance to your career path in Product Management.
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YOU WANT TO
Explore roles within the burgeoning field of AI/ML for Product Management. These could be suitable for you to transfer to from your current role as a Business Development Manager, Program Manager, Marketing Manager or a Project Manager.
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YOU WANT TO
Gain the full toolkit needed to propose AI solutions in your current role with a deep dive into understanding how to best deliver value to customers. Use live examples to cover the basics of AI, the importance of data within AI and ML and how to select a model and evaluate its performance.
YOUR ASCENT STARTS HERE
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Want to know why AI and ML are seen as the future of Product Management? Position yourself for success by learning the skills you need to stand out in this expanding industry.
This course delivers an expert overview with specific practical tools designed to help navigate the ever changing landscape of AI and ML and its role within Product Management.
Expect to complete assignments, receive advice from a leading industry specialist and finish with a Capstone project where you’ll pitch a project personal to you. -
Online learning on a personal level
Keen to learn how to build AI/ML Product Strategies yet want to also understand the importance of communication and collaboration within Product Management projects? This 7 week course switches deftly between hard, soft and career skills delivered in 14 live online lessons with instructor office hours.
ABOUT THE COURSE
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1 CAPSTONE PROJECT Identify a real world AI/ML product idea and develop it through key stages to culminate in a product pitch at the end of the course
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2 GUEST SPEAKERS Gain access to invaluable knowledge and experience from guest speakers chosen for their expertise and intricate understanding of the AI/ML landscape
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14 LIVE LESSONS Learn through live online lessons designed to be interactive and inspiring. You’ll cover a range of hard, soft and career skills to add to your CV - as well as gaining access to instructor office hours and real time feedback
INSTRUCTOR

Ashwin Payyanadan
- Senior Product Manager at Amazon
- Over 20 years experience in Tech - from systems hardware and high performance computing, to Saas and Data Science
- Over 10 years experience working in AI/ML Product Management
- Has created solutions for companies such as Oracle, Veritas and Hitachi
- Pivotal in building Blue Waters petascale supercomputer operated by the NCSA (National Centre for Supercomputing Applications)
ASHWIN PAYYANADAN COURSE INTRODUCTION
SYLLABUS
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01
Thursday 18th January at 6pm UK Time
Introduction to Product Management for AI & ML
Begin to explore the landscape of the ML/AI industry including:
- The relevance, roles and responsibilities of an AI Product Manager
- How AI is currently used within the industry
- The differences between traditional algorithms vs AI vs Machine Learning
Assignment #1: Predict the trajectory that AI will take over the next five years in your organisation or an organisation of your choice.
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02
Monday 22nd January at 6pm UK Time
Defining a Problem to Solve with AI
Develop a hypothesis for a problem that can be resolved using ML/AI:
- Ideating for opportunities
- When to use AI and when not to
- Machine Learning domains
- Identifying a Machine Learning problem
Workshop: Consider a set business scenario and create a hypothesis
Assignment #2: Create a hypothesis that is specific and actionable for a problem of your choice that you believe can be solved using ML/ AI.
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03
Thursday 25th January at 6pm UK Time
Identifying Your Customer - Market & Technology Research
Learn about the key aspects used to frame an ML/AI problem
- Conducting market research
- Identifying target audience and user personas
- Assessing competition and potential market gaps
- Practical tools to structure your product thinking - The AI Project Canvas
Assignment #3: Use the AI Project Canvas as a tool to structure and convey the key value proposition for an ML/AI idea
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04
Monday 29th January at 6pm UK Time
Building AI/ML Product Strategy
Understand the benefits of identifying the right features and setting boundaries for projects
- Working backwards framework for innovation: PR/ FAQ
- Hierarchy of needs within ML and AI
- Introduction to key Product Management metrics: MVP, MVD and MLP
- Managing trade offs - value vs complexity
Assignment #4: Prepare for the Capstone Project by familiarising yourself with the materials given about a real example for the PR/FAQ.
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05
Thursday 1st February at 6pm UK Time
Data Management for AI
Understand the importance of data in successful AI projects
- Data Growth Strategy
- Open Source Data
- Organisational Data
- Annotating Data
- Acquisition & Purchase Data
- Organising Data
- Group Activity: Quiz
Assignment #7: Identify the most suitable data collection option for various problem statements
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06
Monday 5th February at 6pm UK Time
AI and ML Development Lifecycle
Learn the fundamental processes required to build an AI solution with a real life case study
- Problem definition
- Experimental design
- Data preparation
- Exploratory data analysis
- Model selection & Model evaluation
- Model A/B testing
- Best practices for managing AI and ML development projects
- Case study: walk through a real AI program that uses deep learning to predict customer churn
Assignment #5: Describe how your ML system will turn predictions into value for end-users. You will be working with the ML Canvas - a specific framework designed to help you break down complex technical aspects into smaller, more digestible segments.
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07
Thursday 8th February at 6pm UK Time
Evaluating Model Performance
Become proficient in evaluating model performance, model metrics and selecting the optimum model for individual use cases.
- Dividing Test Data
- The Confusion Matrix
- Precision, Recall and F1 score
- Optimisation for Experience
- Error Recovery
Assignment #6: X-cell biotech case study
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08
Monday 12th February at 6pm UK Time
The Importance of Experimentation in AI/ML
Learn to recognise the critical role of experimentation in constructing AI/ML solutions
- Designing the AI/ML experiment
- Selecting the right models for experiments
- Communicating experiment data to your stakeholders
- Identifying and mitigating risks
- Scaling experiments.
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09
Thursday 15th February at 6pm UK Time
Model Deployment and Continuous Improvement
Uncover specific methods and models essential to Product Management in AI and ML to ensure that AI/ML solutions remain relevant, effective and user centric over time
- Model Deployment Methods
- Monitoring models
- Selecting a feedback metric
- User feedback loops
- Shadow deployments
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10
Monday 19th February at 6pm UK Time
Product Iteration and Growth Customer Satisfaction
Learn the ways in which AI and ML can optimise products and enhance customer satisfaction
- Identifying opportunities for product improvement and growth
- Using AI/ML for product optimisation and personalisation
- Scaling
- Measuring and improving customer satisfaction
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11
Thursday 22nd February at 6pm UK Time
Human Factors in AI
Discover the importance of human factors within Product Management in AI and ML
- Human-centred design practices to inspire trust
- Ethical and privacy considerations
- Addressing bias and fairness in AI/ML algorithms
- Introduction to Explainable AI
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12
Monday 26th February at 6pm UK Time
Effective Communication & Collaborative Leadership
Become familiar with the importance of communication and collaboration across both tech
- The importance of storytelling to articulate complex concepts in simple terms
- Communicating effectively with different experts from various backgrounds
- Building and leading cross-functional teams
- Encouraging a culture of innovation and continuous learning
Guest Speaker
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13
Thursday 29th February at 6pm UK Time
Career Guidance
Identify specific job opportunities in AI/ML and set yourself up for success with a ready to go CV, cover letter and focussed interview preparation.
- Current landscape of AI/ML job opportunities for Product Managers
- Building a CV and cover letter
- Preparing for AI/ML-focused interviews and addressing potential challenges
Breakout Session
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14
Monday 4th March at 6pm UK Time
Capstone Project: Pitching Your Product
Develop the proposal for an AI product that covers all product basics including:
- User focus
- Pain points
- Stakeholder considerations
- Storytelling format
APPLY
Fill in the form to start your ELVTR journey. We will contact you to clarify all the details.