Generative AI for Beginners

Name: Generative AI for Beginners
Rating: 4.3 (25 reviews)

Unlock the Power of AI for Content Creation

Created byNooruddin Surani, Amynah Reimoo

Last updated 4/2025

English

What you'll learn

You will learn what Generative AI is, how it differs from other AI, and the fundamental principles behind its operation.
You will learn how to write effective prompts to guide AI models in generating desired text, images or other content.
Identification and description of various real-world uses of Generative AI across different industries and creative fields.
Learn about the most popular AI tools for professionals.

Course content

4 sections • 20 lectures • 1h 1m total length

Foundations of AI and Generative AI1:07
Introduction to Artificial Intelligence0:56
In this section, we define the meaning of Artificial Intelligence (AI) and examine what it entails in both theoretical and practical terms. This section also provides a clear foundation for understanding how AI is conceptualized and applied across various domains.
Aritifical Intelligence - Perception0:57
In this section, we explore Artificial Intelligence Perception, which refers to the ability of AI systems to interpret and make sense of sensory data from the world around them. This capability is essential for enabling intelligent systems to interact effectively with their environment and perform tasks that require real-time awareness and responsiveness.
Generative AI1:31
In this section, we delve into Generative Artificial Intelligence, a branch of AI focused on creating new content such as text, images, audio, and even code.
Perception on AI2:11
In this section, we examine the perception of Artificial Intelligence from various perspectives, including public opinion, academic viewpoints, industry perspectives, and media representation.
Ostrich policy and AI0:43
In this section, we explore the concept of the "Ostrich Policy" in relation to Artificial Intelligence, referring to the tendency of individuals, organizations, or governments to ignore or downplay the potential risks and challenges posed by AI.
AI Vocabulary2:22
In this section, we introduce key vocabulary related to Artificial Intelligence to help readers build a solid foundation in the field. This section serves as a helpful reference for both newcomers and those looking to reinforce their understanding of AI terminology.

Concluding Remarks1:16
In this section, we provide concluding remarks for the course, reflecting on the key concepts, tools, and skills covered throughout. We summarize the major takeaways, emphasizing how the knowledge gained can be applied in real-world scenarios and contribute to a deeper understanding of Artificial Intelligence and its impact on various industries. Additionally, we offer guidance on next steps for continued learning, encouraging students to explore advanced topics and practical applications. This section serves as both a reflection on the course's content and an invitation to further engage with the exciting and rapidly evolving field of AI.
Tools for AI1:03
In this section, we explore the essential tools used in the development and application of Artificial Intelligence and by understanding these tools, readers will gain insight into how AI systems are built, tested and scaled across different industries and use cases.
How to use GAMMA - Generative AI Tool5:05
In this section, we provide a step-by-step guide on how to use GAMMA, a Generative AI tool designed to help users create content such as presentations, documents, and visual materials with the assistance of artificial intelligence.
How to use Perplexity2:32
In this section, we provide a comprehensive guide on how to use Perplexity, an AI-powered tool designed to enhance search and information retrieval.
Using Microsoft Excel with AI2:34
In this section, we explore how to enhance your Microsoft Excel experience with AI-powered features and tools. This section will help you unlock the full potential of Excel by combining its powerful features with the capabilities of artificial intelligence.
Using NoteBookLM2:50
In this section, we introduce how to use NoteBookLM, an AI-powered tool designed to enhance note-taking and organization for users. Whether you're a student, professional, or researcher, this section provides practical tips on how to integrate NoteBookLM into your workflow to boost productivity and streamline your note-taking process.

Prompt Engineering Techniques4:42
In this section, we will explore essential prompt engineering techniques designed to enhance your interactions with AI models. We will learn how to structure prompts clearly, apply context effectively and iterate for improved results. These skills will help you generate more accurate, relevant and creative outputs tailored to specific goals or tasks using ChatGPT.
Introduction to Prompt Engineering Course1:53
In this course we will learn to craft effective prompts for AI tools like ChatGPT, enhancing communication, productivity and problem-solving across various domains.
Using Effective Prompts for Better Results7:57
In this section, we will discover how to use effective prompts to get better results from AI models. By learning to phrase questions clearly, provide context and guide responses, you will improve the accuracy and usefulness of AI outputs across various applications such as writing, problem-solving, research and creative tasks.

Wrapping Up Technical Proposal in Chain of Thought Prompting4:49
In this section, you will explore how to wrap up a technical proposal using Chain of Thought prompting. By summarizing key points, reinforcing conclusions and ensuring clarity, this technique helps structure final recommendations effectively. You’ll learn to guide AI to provide coherent, concise and actionable conclusions for technical proposals.
Concluding Remarks0:48
Chain of Thought Prompting7:17
In this section, we will learn about Chain of Thought prompting, a technique that guides AI to break down complex problems step by step. By encouraging logical reasoning and intermediate steps, this method enhances the accuracy and depth of responses in tasks like math, analysis, decision-making and multi-step problem-solving.
Technical Proposal in Chain of Thought Prompting8:42
In this section, you will learn how to use Chain of Thought prompting for technical proposals. This method helps break down complex technical challenges into manageable steps, ensuring clear, structured and logical responses. You will enhance your ability to generate detailed proposals, analyze requirements and provide well-reasoned solutions effectively.

Requirements

Familiarity with using computers and navigating software. Generative AI is a rapidly evolving field, so having a curious and adaptable mindset is beneficial.
No programming experience needed

Description

Generative AI refers to a type of artificial intelligence that can create new content—such as text, images, music, or code—based on patterns it has learned from existing data. Unlike traditional AI systems that are designed to recognize patterns or make decisions, generative AI goes a step further by producing original outputs that mimic human creativity.

At its core, generative AI uses models like neural networks, especially a type called transformers. These models are trained on large datasets, learning the structure and style of the content they observe. Once trained, they can generate new data that resembles the original, such as writing essays, composing songs, creating artwork, or designing products.

Popular tools like ChatGPT (for text), DALL·E (for images), and MusicLM (for music) are real-world examples of generative AI. These systems can help automate tasks, enhance creativity, and offer new ways to interact with machines.

Generative AI works through techniques such as deep learning and natural language processing. A common method is using a prompt—an input provided by a user—to guide the AI in generating a response. For example, typing "write a poem about the ocean" into a text generator could produce a unique poem in seconds.

While generative AI holds exciting potential, it also raises concerns about copyright, misinformation, and ethical use. As a beginner, it's important to explore both the creative possibilities and the responsibilities that come with using this powerful technology.

Generative AI is shaping the future—one creation at a time.

Who this course is for:

Aspirants who want to learn Generative AI to be used in their day to day professional lives.

Generative AI for Beginners

What you'll learn

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Course content

Foundations of AI and Generative AI7 lectures • 10min

Practical Tools for Generative AI6 lectures • 15min

Introduction to Prompt Engineering3 lectures • 15min

Advanced Prompt Engineering with Chain of Thought4 lectures • 22min

Requirements

Description

Who this course is for: