AI Product Manager – Job-based training & Masterclass 2024

AI Product Manager – Job-based training & Masterclass 2024, available at $19.99, has an average rating of 4.29, with 8 lectures, based on 7 reviews, and has 49 subscribers.

You will learn about AI Fundamentals AI Applications – NLP, Speech recognition, Predictive analysis, Chatbots, Facial recognition, Expert systems, Gaming, Healthcare, etc Machine Learning Essentials Importance of Data and Data Processing Model Training Ethical Considerations Advancements in AI Supervised Learning Models: Classification Various types of classification models for binary and multi-class classification Performance metrics: Confusion Matrix, F1, Precision, Recall, Accuracy – which one to use in which case, with examples Unsupervised Learning: Clustering, performance metrics Model Improvement Methods Feature Selection and Dimensionality reduction methods: Lasso Regression, Ridge Regression, PCA Hyperparameter Tuning: Various methods, deep dive into Grid-search and Random-search Market analysis of AI Products AI Product Landscape Defining business objectives KPIs for AI Product Customer centric approach to AI Product Strategy Persona creation AI in Product Roadmaps Scalability and Flexibility Risk management Case study – OpenAI ChatGPT Practice project This course is ideal for individuals who are Aspiring Product Managers or Jobseekers or Career change aspirants or Students from any domain or Entrepreneurs or Non tech candidates or Product Managers who would like to get an understanding of AI or Those who wish to work in an AI startup as Product Manager It is particularly useful for Aspiring Product Managers or Jobseekers or Career change aspirants or Students from any domain or Entrepreneurs or Non tech candidates or Product Managers who would like to get an understanding of AI or Those who wish to work in an AI startup as Product Manager.

Enroll now: AI Product Manager – Job-based training & Masterclass 2024

Summary

Title: AI Product Manager – Job-based training & Masterclass 2024

Price: $19.99

Average Rating: 4.29

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

AI Fundamentals
AI Applications – NLP, Speech recognition, Predictive analysis, Chatbots, Facial recognition, Expert systems, Gaming, Healthcare, etc
Machine Learning Essentials
Importance of Data and Data Processing
Model Training
Ethical Considerations
Advancements in AI
Supervised Learning Models: Classification
Various types of classification models for binary and multi-class classification
Performance metrics: Confusion Matrix, F1, Precision, Recall, Accuracy – which one to use in which case, with examples
Unsupervised Learning: Clustering, performance metrics
Model Improvement Methods
Feature Selection and Dimensionality reduction methods: Lasso Regression, Ridge Regression, PCA
Hyperparameter Tuning: Various methods, deep dive into Grid-search and Random-search
Market analysis of AI Products
AI Product Landscape
Defining business objectives
KPIs for AI Product
Customer centric approach to AI Product Strategy
Persona creation
AI in Product Roadmaps
Scalability and Flexibility
Risk management
Case study – OpenAI ChatGPT
Practice project

Who Should Attend

Aspiring Product Managers
Jobseekers
Career change aspirants
Students from any domain
Entrepreneurs
Non tech candidates
Product Managers who would like to get an understanding of AI
Those who wish to work in an AI startup as Product Manager

Target Audiences

Aspiring Product Managers
Jobseekers
Career change aspirants
Students from any domain
Entrepreneurs
Non tech candidates
Product Managers who would like to get an understanding of AI
Those who wish to work in an AI startup as Product Manager

Welcome to ‘AI Product Manager – Job-based training 2024‘, a first-of-its kind short program designed for jobseekers and career change aspirants who would like to specialize on AI or work as Product Manager in an AI startup.

This course is specifically created as a JOB-BASED TRAINING program thereby teaching concepts hands-on and relevant to real-work environment. If you are looking for a job in AI Product Management or if you are a student who would like to get first experience in AI, this course is exactly for you.

How is this program a JOB-BASED TRAININGand how will it equip you with skills relevant for your AI Product role:

What companies ask for a AI Product role?

Conduct thorough market research to identify AI opportunities, assess competition, and stay informed about industry trends.
Analyze customer feedback and data to inform product decisions and enhancements.
Prioritize product features based on customer needs, business objectives, and technical feasibility.
Manage the entire product lifecycle from ideation to launch and post-launch optimization.
Define and track key performance indicators (KPIs) to measure product success.
Clearly communicate product requirements, goals, and updates to internal teams and stakeholders.
Creation of MVPs and testing
Develop and articulate a clear product strategy aligned with the company’s AI vision and business objectives.

How this course meets the requirements?

Learn Market Research, Competitor Analysis, Trend Analysis and Opportunity Recognition frameworks including hands-on project
Understand thef foundation of Lean startup methodology to Build products fast, Measure & Learn from customers and apply it to an idea
Learn Prioritization methods and frameworks
Get in-depth knowledge on Product Lifecycle Management, Product Development Process and Front-end of Innovation concepts
Understand KPI types and tracking tools
Get an overview of Product Requirements Document, Agile Principles and Communication methodologies and create a PRD by yourself
Learn MVP Techniques and tools and create an MVP on your own
Learn and create your first AI Product Strategy from scratch

Tools you will learn:

1. Machine Learning fundamentals

2. Supervised learning

3. Unsupervised learning

4. AI Market Landscape research

Extra Module and Benefits:

1. AI Fundamentals and Applications:

Unlock exclusive access to one of our AI modules Learn from our experts leveraging AI to enhance your productivity and understand the wide variety of applications of AI across industries

2. Career Guidance

Understand how to effectively search for a job, find startups, craft a compelling CV and Cover Letter, types of job platforms and many more!

Trainers:

Dr. Chetana Didigu – Germany

Experienced Data Scientist, Product Owner, and PhD graduate from IIM Ahmedabad and has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL.

Aravinth Palaniswamy – Germany

Founder of 2 startups in Germany and India, Technology Consultant, and Chief Product Officer of Moyyn, and has 10+ years of experience in Venture Building, Product and Growth Marketing.

Course Curriculum

Chapter 1: Introduction to AI

Lecture 1: Introduction

Lecture 2: AI Applications

Chapter 2: Core concepts of AI – Machine Learning

Lecture 1: Supervised Learning

Lecture 2: Natural Language Processing

Chapter 3: AI Product Strategy

Lecture 1: AI in Product Management

Chapter 4: Career Guidance module

Lecture 1: How to effectively look for companies?

Lecture 2: How to create a compelling CV and Cover Letter

Chapter 5: Bonus

Lecture 1: Bonus

Instructors

GATE by Moyyn
Training talent on next-generation skills

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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