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Unclaimed ProfileDesigned specifically for those taking their first steps into the rapidly evolving world of artificial intelligence, 'The Next Frontier: Generative AI for Absolute Beginners' by Idan Gabrieli offers a highly accessible and engaging entry point. This course strips away complex mathematical jargon to deliver a clear, conceptual understanding of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Learners will explore the mechanics behind foundational models and Large Language Models (LLMs), unpacking how concepts like tokens, prompt engineering, and context windows shape user interactions with AI. Beyond basic concepts, the training dives into advanced paradigms such as Retrieval-Augmented Generation (RAG) and model fine-tuning, ensuring students understand how enterprise-grade AI applications are built. With practical modules covering text, image, video, and audio synthesis, the curriculum addresses both the creative possibilities and the ethical limitations of generative technologies. Perfect for business professionals, career switchers, and curious minds, this course empowers absolute beginners to confidently discuss, implement, and leverage modern generative AI tools in their daily workflows.
About the creator
Idan Gabrieli
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Idan Gabrieli is a technology educator and strategist dedicated to demystifying the rapidly evolving landscape of Artificial Intelligence. With a strong focus on Generative AI and prompt engineering, Idan has designed comprehensive learning paths that cater to both complete newcomers and professionals aiming to upgrade their modern digital skill sets. His courses, including "Master the Art of Prompt Engineering for Generative AI" and "The Next Frontier: Generative AI for Absolute Beginners," demonstrate his commitment to making advanced technical concepts highly digestible, practical, and immediately actionable. Idan's instructional approach emphasizes hands-on experimentation, structured frameworks, and real-world case studies, ensuring that learners…Show more
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Program Overview
Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Artificial Intelligence (AI), Machine Learning and Deep Learning
- Fundamentals of Machine Learning
- Typical ML Tasks
- Training Phase, Trained Model, Features
- Supervised/Unsupervised/Semi-supervised Learning
- Artificial Neural Networks (ANNs)
- Deep Learning Architectures
- Large Language Models (LLMs)
- Contextual Prompting, RAG, Fine-Tuning
- Foundation Models
- Prompt, Tokens, Context Window
- Prompt Engineering
- Pretraining and Fine-tuning
- Gen AI - Key Challenges and Limitations
- Text-To-Text/Image/Video/Audio Models
- Generative AI - Key Use Cases
Best For
- Non-technical professionals looking to understand AI concepts without complex math.
- Individuals curious about how LLMs, text-to-image, and audio synthesis tools work.
- Business managers and decision-makers exploring AI integration for daily workflows.
- Beginners wanting a broad conceptual overview of generative AI and its enterprise applications.
Not For
- Software engineers seeking deep-dive tutorials on coding AI models or custom algorithm development.
- Data scientists looking for advanced mathematical proofs or hyper-parameter tuning techniques.
- Learners who prefer hands-on coding exercises over conceptual foundations and tool overviews.
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