Product Manager Who Wanted to Get an Introduction to AI
Broaden your comprehension of artificial intelligence, covering Artificial Intelligence introduction, data
analytics, computer vision, natural language processing, ethics and governance. This course will also cover business applications and emerging trends.
Lesson Plan
Session 01 (2 hours)
Session 02 (2 hours)
Session 03 (2 hours)
Session 04 (2 hours)
Session 05 (2 hours)
Session 06 (2 hours)
Session 07 (2 hours)
Session 08 (2 hour)
Session 09 (2 hours)
Session 10 (2 hours)
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Definition and scope of AI
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Overview of AI approaches and subfields
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Examples of AI in real-world products and services
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How does an AI learn? An overview of supervised learning and classification.
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Hands-on activity: Building a sentiment detection AI model from text
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Metrics to measure a classification AI
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Overview of regression type of AI
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Metrics to measure a regression AI
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Understanding data sets and feature selection
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Survey design, data cleaning and preprocessing
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Data aggregation and structure needed for AI Algorithms
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Feature engineering during training and prediction
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K-nearest neighbors
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Decision trees
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Linear regression
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Introduction to neural networks - MLP
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Pre-trained models
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ImageNet challenge and transfer learning
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Image classification
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Object detection
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Object segmentation
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Introduction to Natural Language Processing (NLP)
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Types of NLP models and how they're used in business applications
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Transfer learning and its applications in NLP
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Introduction to transformers
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Overview of the HuggingFace library and its features
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Introduction to ChatGPT and how it works
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Prompt engineering and how it's used in ChatGPT
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The ChatGPT API and how it can be used
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Usage patterns for ChatGPT and how they differ from traditional chatbots
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Drawbacks of ChatGPT and how to mitigate in business use cases
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Personalization using ChatGPT and its implications for business
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Business use cases for ChatGPT and LangChain apps
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Best practices for integrating ChatGPT into existing business
processes
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Understanding the ethical considerations around AI
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Overview of governance frameworks for AI
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Discussion of rules and regulations in different industries in AI usage
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Overview of emerging trends in AI, such as edge computing, quantum computing, and explainable AI
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Discussion of how these trends might impact product management
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Introduction to new and emerging tools and frameworks for AI
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Overview of buy vs. build options for AI integration
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Best practices for integrating AI into existing products and services
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Understanding how AI can be used to create new products and
services -
AI tools offered by cloud vendors
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Apply the concepts learned in the course to a real-world problem
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Work with a team to design a product or service that incorporates AI
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Present the capstone project to the class for feedback and discussion
About AIClub’s Professional Development Program (AIClubPro)
AIClub is an education technology company focused on Artificial Intelligence Literacy. We educate individuals from students to professionals, covering all aspects of Artificial Intelligence and related technologies at appropriate depth from introductory to advanced, depending on the individual's prior knowledge and future interests. Our AIClubPro programs have educated professionals from many industries, with roles ranging from Engineering and Operations to Product Management, Marketing and Executive Leadership.
The AIClubPro program is led by three founders with exceptional depth and expertise in both industry and academia. Together, our leadership team has over 40 years of professional experience in technology, having served in executive roles in public companies and startups, founded four companies, and with over 200 patents and over 100 research publications.
