Part 1: Grasp the EDGE™ Imperative
Part 2: Understanding AI and Related Technologies
Part 3: Applying AI-Native Success Factors
Part 4: Workflow Improvement and Transformational Thinking
Part 5: Roadmap to AI-Native
Part 6: The AI-Native Pitch
Conclusion and Next Steps
COURSE CONTENT: 1) Introduction to NLP • What is NLP? • NLP Basics: Text Preprocessing and Tokenization • NLP Basics: Word Embeddings • Introducing Traditional NLP Libraries • A…
COURSE CONTENT: 1- Introduction to MLOps • What is MLOps • Machine Learning Life Cycle Overview 2- MLOps Components and Tools • Brief overview of MlOps Life Cycle /…
COURSE CONTENT: 1. An introduction to AI and historical development 1.1 Key AI definitions and terminology 1.2 Key milestones in AI development 1.3 Types of AI:…
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