NLP (including ChatGPT), Related Areas, and Business Impact
Harness NLP, ChatGPT, and Generative AI for Business Impact. This program broadens your comprehension of artificial intelligence, with a specific focus on the NLP within the context of business. You will gain valuable insights into how NLP algorithms proficiently analyze text. Crucially, you will explore the various buy versus build options available in the market to make strategic, high-impact decisions.
Who is this for?
Professionals, managers, and AI enthusiasts who need to understand, evaluate, and strategically implement language AI for business impact.
Prerequisites:
No formal technical prerequisites are listed; the focus is on strategic application and comprehension.
What You Will Achieve
- Master the decision-making process for Large Language Models (LLMs), including the critical build vs. buy analysis.
- Acquire best practices for integrating the ChatGPT API and using frameworks like LangChain.
- Learn to evaluate NLP models using metrics like accuracy and confusion matrix.
- Understand the full data science pipeline and data best practices (including an exercise with Churn data).
- Strategically mitigate the drawbacks, automation issues, and personalization implications of using ChatGPT in business.
Key Topics Covered
This 8-session, 1.5-hour-per-session curriculum is structured around in-demand business use cases:
- AI & NLP Foundations: Supervised learning (classification, regression), unsupervised learning (K-means), neural networks, and transfer learning.
- Data Science Context: The data science pipeline, tools landscape, and data best practices (with Exercise using Churn data).
- Generative AI Mastery: Transformers, the HuggingFace library, Introduction to ChatGPT, and Prompt Engineering.
- Strategic Implementation: The ChatGPT API, LangChain apps, usage patterns, and mitigating drawbacks.
- LLM Strategy: Exploring counterparts (GPT-2, GPT-3), and analyzing “Build vs buy” options for LLMs.
Assessment & Certification
Mastery is demonstrated through various hands-on activities, including:
• Building a sentiment detection AI model from text.
• Building a ChatGPT model. Students who successfully complete the course will receive a certificate of completion.