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Generative AI for Beginners
Rating: 4.7 out of 5(5 ratings)
33 students

Generative AI for Beginners

Learn AI basics, LLMs, prompt engineering, real-world use cases, and chatbot implementation
Created byGAME INSTITUTE
Last updated 1/2026
English
English [Auto],

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

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Course content

5 sections • 17 lectures • 1h 55m total length

  • Introduction to the course0:55

    Learn the basics of AI, how it's made, and where it's useful, address job fears, and build your own personal chatbot by the end of the course.

  • understanding generative AI5:19

    Define generative AI and contrast it with conventional AI, then show how AI models generate text, images, audio, and video. Explore ChatGPT features and how these models create new content.

  • machine learning (ML) Deep learning10:00

    Explore how artificial intelligence, machine learning, and deep learning connect, and how neural networks and generative AI learn from training data to generate text and images.

  • Chat GPT16:21

    Explore ChatGPT, a language model by OpenAI designed for natural language understanding and generation in conversation, tracing GPT versions from 1 to 5 and API usage.

  • Quiz

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 AI
This 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 Terminologies
Students 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 Industries
The 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 Impact
Learners 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 Basics
The 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 Outcome
By 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.

Who this course is for:

  • Anyone curious about Generative AI who wants to learn AI basics, key terminology, and practical use cases without coding.

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