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Generative Ai For Beginners (2026)
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.45 GB [/center] | Duration: 1h 56m
Learn AI basics, LLMs, prompt engineering, real-world use cases, and chatbot implementation
What you'll learn
Understand the fundamentals of Generative AI, including AI, Machine Learning, and Deep Learning concepts.
Explain key Generative AI terminologies such as LLMs, prompt engineering, embeddings, and fine-tuning.
Identify real-world applications of Generative AI across industries like software development, marketing, retail, and digital design.
Understand Responsible AI principles, ethical considerations, and the economic impact of AI technologies
Requirements
This course is designed for complete beginners with no background in AI, coding, or data science. A basic understanding of computers and curiosity to learn is enough.
Description
• Introduction to Generative AIThis course starts with a clear and simple introduction to Generative AI, explaining what AI is, how it works, and how Generative AI differs from traditional AI systems. Learners will understand the role of Machine Learning and Deep Learning in building modern AI models.• Understanding Key AI TerminologiesStudents will learn essential Generative AI terms such as Large Language Models (LLMs), prompt engineering, embeddings, and fine-tuning. These concepts are explained in beginner-friendly language to build strong foundational knowledge.• Real-World Applications Across IndustriesThe course explores how Generative AI is used in software development, retail, marketing, and digital designing. Practical examples help learners see how AI tools are applied in real industries and everyday workflows.• Responsible AI and Future ImpactLearners are introduced to Responsible AI, including ethical use, limitations, and the economic impact of AI. This section helps students understand both the benefits and risks of adopting AI technologies.• Chatbot Implementation BasicsThe final part of the course focuses on chatbot implementation. Students learn the overall process, required setup, and step-by-step breakdown of chatbot development through multiple structured parts.• Beginner-Friendly Learning OutcomeBy the end of the course, learners will have a solid understanding of basic Generative AI concepts, confidence in AI terminology, and awareness of how AI systems like chatbots are designed and used responsibly.
Anyone curious about Generative AI who wants to learn AI basics, key terminology, and practical use cases without coding.
Generative Ai For Beginners (2026)
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.45 GB [/center] | Duration: 1h 56m
Learn AI basics, LLMs, prompt engineering, real-world use cases, and chatbot implementation
What you'll learn
Understand the fundamentals of Generative AI, including AI, Machine Learning, and Deep Learning concepts.
Explain key Generative AI terminologies such as LLMs, prompt engineering, embeddings, and fine-tuning.
Identify real-world applications of Generative AI across industries like software development, marketing, retail, and digital design.
Understand Responsible AI principles, ethical considerations, and the economic impact of AI technologies
Requirements
This course is designed for complete beginners with no background in AI, coding, or data science. A basic understanding of computers and curiosity to learn is enough.
Description
• Introduction to Generative AIThis course starts with a clear and simple introduction to Generative AI, explaining what AI is, how it works, and how Generative AI differs from traditional AI systems. Learners will understand the role of Machine Learning and Deep Learning in building modern AI models.• Understanding Key AI TerminologiesStudents will learn essential Generative AI terms such as Large Language Models (LLMs), prompt engineering, embeddings, and fine-tuning. These concepts are explained in beginner-friendly language to build strong foundational knowledge.• Real-World Applications Across IndustriesThe course explores how Generative AI is used in software development, retail, marketing, and digital designing. Practical examples help learners see how AI tools are applied in real industries and everyday workflows.• Responsible AI and Future ImpactLearners are introduced to Responsible AI, including ethical use, limitations, and the economic impact of AI. This section helps students understand both the benefits and risks of adopting AI technologies.• Chatbot Implementation BasicsThe final part of the course focuses on chatbot implementation. Students learn the overall process, required setup, and step-by-step breakdown of chatbot development through multiple structured parts.• Beginner-Friendly Learning OutcomeBy the end of the course, learners will have a solid understanding of basic Generative AI concepts, confidence in AI terminology, and awareness of how AI systems like chatbots are designed and used responsibly.
Anyone curious about Generative AI who wants to learn AI basics, key terminology, and practical use cases without coding.
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