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Career Essentials in Generative AI
Chapters

1Introduction to Generative AI

2Fundamentals of Machine Learning

Introduction to Machine LearningTypes of Machine LearningSupervised vs. Unsupervised LearningKey Algorithms in Machine LearningData Preprocessing TechniquesModel Evaluation and ValidationOverfitting and UnderfittingFeature EngineeringModel Optimization

3Deep Learning for Generative Models

4Natural Language Processing (NLP) in Generative AI

5Computer Vision and Generative AI

6Generative AI Tools and Frameworks

7Ethics and Social Impact of Generative AI

8Building a Career in Generative AI

9Case Studies and Real-World Applications

10Future Trends in Generative AI

Courses/Career Essentials in Generative AI/Fundamentals of Machine Learning

Fundamentals of Machine Learning

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Understand the foundational principles of machine learning that underpin generative AI technologies.

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Introduction to Machine Learning

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