Natural Language Processing
This comprehensive course is for Product and Program Managers who want a broad introduction to all facets of Artificial Intelligence. You will broaden your comprehension of AI, covering not just NLP but also data analytics, computer vision, ethics, and governance. This course covers business applications, emerging trends, and the “build vs. buy” decision, culminating in a capstone project to design a new AI-powered product.
Who is this for?
Product Managers and Program Managers who need a comprehensive, 360-degree understanding of AI to build, manage, and strategize new products.
Prerequisites:
No formal technical prerequisites are listed; this course is designed for a product/program management perspective.
What You Will Achieve
- Understand the full scope of AI: data analytics, Computer Vision (CV), and Natural Language Processing (NLP).
- Master data-centric concepts like feature selection, data cleaning, and feature engineering.
- Grasp the fundamentals of core ML (KNN, Decision Trees) and Deep Learning (MLP, Transfer Learning).
- Gain strategic insight into the ChatGPT API, prompt engineering, and LangChain apps.
- Confidently discuss AI ethics, governance, and emerging trends (e.g., edge computing, quantum).
- Apply all concepts in a team-based capstone project to design a new AI product.
Key Topics Covered
This 8-session, 1.5-hour-per-session curriculum is structured around in-demand business use cases:
- AI Fundamentals: Supervised learning (classification, regression), and core algorithms (K-nearest neighbors, Decision Trees, Linear regression).
- Data Analytics: Understanding data sets, feature selection, data cleaning, preprocessing, and feature engineering.
- Computer Vision (CV): Pre-trained models, ImageNet challenge, transfer learning, image classification, and object detection.
- Natural Language Processing (NLP): Transformers, HuggingFace library, ChatGPT, prompt engineering, and LangChain.
- Strategy & Ethics: Understanding ethical considerations, governance frameworks, emerging trends, and buy vs. build options.
Assessment & Certification
Assessment is centered on a capstone project where you will work with a team to design a product or service that incorporates AI. You will then present the capstone project to the class for feedback and discussion.