FreeAI/Machine Learningbeginner

Generative AI For Everyone

Name: Generative AI For Everyone
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Master the fundamental concepts of Generative AI, from its applications and practical usage to advanced concepts like fine-tuning, and its societal impact.

2 weeksEN7 lessons458 enrolled

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Course Curriculum

1 modules · 5 subjects · 7 lessons

A Practical Guidea breakdown and overview of the ai applications in day to day life

5 subjects

Foundations of Generative AIAn introduction to the core concepts, principles, and inner workings of Generative AI.

1 lessons

Introduction and Core ConceptsThis lesson covers the fundamentals of Generative AI, from its introduction to how Large Language Models (LLMs) work as a thought partner.

Generative AI Applications and Practical UsageExploring the various applications of Generative AI, including writing, reading, and image generation, and practical tips for daily use.

2 lessons

Applications and PromptingThis lesson covers how Generative AI is applied in different contexts, from creating content to understanding its capabilities and limitations.
Using AI in Software and CodeThis lesson delves into integrating Generative AI into software applications and the lifecycle of a generative AI project.

Advanced Concepts and ModelsA deeper dive into the technical aspects of Generative AI, including model training, optimization, and advanced techniques like RAG and fine-tuning.

1 lessons

Advanced TechniquesThis lesson covers more technical topics such as Retrieval Augmented Generation (RAG), fine-tuning, and instruction tuning, which are crucial for building more sophisticated AI systems.

Societal Impact and FutureAn examination of the broader implications of Generative AI, including its impact on the workforce, ethical considerations, and the future of AI.

2 lessons

AI and the Future of WorkThis lesson explores how Generative AI is changing jobs, creating new workflows, and providing new opportunities across various sectors.
Ethical ConsiderationsThis lesson delves into the concerns and responsible use of Generative AI, addressing topics like bias, safety, and the path towards Artificial General Intelligence (AGI).

Course SummaryA final recap of the key concepts and an outlook on the future of AI.

1 lessons