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LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE

PRODUCT MANAGEMENT FOR AI & ML

DATES: 25th April - 17th June 2024
DURATION: 7 WEEKSMONDAY & THURSDAY
6 PM BST
ASHWIN PAYYANADAN
AMAZON
IMG_1948
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE ON PRODUCT MANAGEMENT FOR AI & ML
DATES:

25TH APRIL -
17TH JUNE 2024


DURATION:
7 WEEKS
MONDAY & THURSDAY
6 PM BST

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

  • 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.

  • 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.

  • 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

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
01
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
02
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
03
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
LINKEDIN PROFILE
  • Senior Product Manager at Amazon
  • Over 20 years experience in Tech - from systems hardware and high performance computing, to Saas and Data Science
  • 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
00
Wednesday 24th April at 6pm BST
Intro Session
  • Instructor Introduction
  • Course Objectives & Flow
  • Q & A
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01
Thursday 25th April at 6pm BST
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 29th April at 6pm BST
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.v

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03
Thursday 2nd May at 6pm BST
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
Thursday 9th May at 6pm BST
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
Monday 13th May at 6pm BST
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
Thursday 16th May at 6pm BST
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
Monday 20th May at 6pm BST
Evaluating Model Performance

Become proficient in evaluating model performance, model metrics and selecting the optimum model for individual use cases.e

  • 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
Thursday 23rd May at 6pm BST
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 30th May at 6pm BST
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 3rd June at 6pm BST
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 6th June at 6pm BST
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 10th June at 6pm BST
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 13th June at 6pm BST
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 17th June at 6pm BST
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
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What our students say

Anibe Agamah
Software Engineer
"The Product Management for AI & ML course was well designed content, covering general Product Management principles within the context of AI, using practical real-world examples. The take-home assignments were challenging, but necessary for practicing what was taught. It was my first in-person course for a long time so it was refreshing to have very engaged instructor and classmates."
Sudharsshan (Sid) Mohan
Program Manager, Kawasaki Rail Car, Inc.
"Completing the AI/ML Product Manager course with Ashwin was truly immersing. Throughout the program, Ashwin's guidance and expertise ensured a perfect blend of theoretical knowledge and practical application, equipping me with the framework needed to confidently navigate AI and ML projects. This comprehensive course not only expanded my understanding of product management in the AI but also provided invaluable insights into approaching problems through an AI/ML lens. More importantly, the program focuses on functional non-technical frameworks which are recommended to ensure you don't veer off course through your product development. Thankful for taking this up with Ashwin & ELVTR."
Harmil Pardesi
Co-founder and Chief Product Officer at MyEd Limited
"I found immense value in every aspect of this course, especially the opportunity to apply learning directly to my own business. Learning from an industry expert like Ashwin provided unparalleled depth of knowledge and insight, reflected in the well-structured modules and engaging live classes. Ashwin's inclusive approach ensured every student could participate and receive personalised support, including one-on-one sessions for further guidance. His thoughtful feedback, advice and reassurance greatly enhanced my learning experience. With the dedicated support of the program manager, I highly recommend this course and ELVTR for anyone seeking meaningful personal and professional development."
J Walker
Founder / AI Facilitator at Serenovation
"As an entrepreneur who had dabbled in Artificial Intelligence (AI) in 2005, and due to the recent resurgence in this technology and having just sold my shares in my previous business, I had the time, resources and mental space to turn my attention to developing new products that make use of artificial intelligence.
I knew there is an infinite amount to learn, so came with a beginner’s mindset to discover how product managers working at tech giants manage their hi-tech products.
This well organised course provided the perfect framework for converting my hare-brained hunches and hypotheses into digital assets that represent a feasible plan to develop and manage my business startup’s first suite of products."
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