Program Manager Who Wanted to Get an Introduction to AI
Broaden your comprehension of artificial intelligence, with a specific focus on the rapidly-evolving realm of natural language processing (NLP) within the context of business. Gain valuable insights into how NLP algorithms proficiently analyze text, as well as explore the various buy versus build options available in the market.
Lesson Plan
Session 01 (1 hour)
Session 02 (1 hour)
Session 03 (1 hour)
Session 04 (1 hour)
Session 05 (1 hour)
Session 06 (1 hour)
Session 07 (1 hour)
Session 08 (1 hour)
Session 09 (1 hour)
Session 10 (1 hour)
Session 11 (1 hour)
Session 12 (1 hour)
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Introduction to AI and its various subfields, including Natural Language Processing (NLP)
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Hierarchy of AI terms and how they relate to NLP
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Types of AI and their real-world applications, with a focus on business use cases
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How does an AI learn? An overview of supervised learning and classification. Hands-on activity: Building a sentiment detection AI model from text
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Introduction to classification and how it's used in NLP
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Evaluating AI models and assessing their effectiveness
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Introduction to regression and how it differs from classification
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Evaluation metrics for regression models, including RMSE and MAE
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Introduction to unsupervised learning and how it's used in NLP
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Introduction to Data Science
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Data best practices
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The data science pipeline within a business context
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Data Science continued
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The data science tools landscape
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Relationship between data science and AI, tools and delivery models.
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Introduction to clustering algorithms
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In-depth exploration of K-means clustering
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Business use cases for clustering
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Introduction to neural networks and how they're used in NLP
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Transfer learning and its applications in NLP
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Types of NLP models and how they're used in business applications
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Introduction to transformers and their applications in NLP
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How transformers have revolutionized NLP tasks
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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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Hands-on activity: Building a ChatGPT model
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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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Issues with automation using ChatGPT and how to overcome them
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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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Overview of ChatGPT counterparts, including GPT-2 and GPT-3
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An exploration of large language models (LLMs) and their options
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Build vs buy options for LLMs and factors to consider when making a decision
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.
