π§ A Beginner's Guide to Legal AI
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π©πΌβπΌ Who is the course for?
π What does the course cover?
Module 1 - AI Fundamentals
- What is AI?
- The different kinds of AI
- AI, ML and NLP
- A brief history of AI
- Rules-based AI
- ML-based AI
- Contexts for doing AI
Module 2 - Data Fundamentals
- What is data?
- The different kinds of data
- Data Bias
- Data Strategy
Module 3 - Machine Learning (ML) Fundamentals
- What is Machine Learning?
- The different kinds of ML
- The different learning approaches
- What's needed for doing ML?
- ML project lifecycle
- A brief history of ML
Module 4 - Natural Language Processing (NLP) Fundamentals
- What is NLP?
- NLP, NLU and NLG
- NLP Tasks
- A brief history of NLP
- Linguistic NLP
- ML-based NLP
- Deep Learning NLP
- Large Language Models
Module 5 - Legal AI
- The What of Legal AI
- The How of Legal AI
- The Why of Legal
- Legal AI Opportunity Detection
- Why Legal AI is important?
- Evaluating a Legal AI solution
π¦ What's included?
Any future updates and revisions to the content
π₯Join the waitlist
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