Artificial Intelligence
A step-by-step video series that introduces generative AI concepts, tools, and practical uses for students and beginners. Taught by Prof. Dr. Usman Ghani Khan.
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Now playing: How Law Enforcement Can Track Anyone Using Digital Traces Lecture 1 Part 9
This free learning path follows the Generative AI for Beginners course by Prof. Dr. Usman Ghani Khan. It starts with the basics of artificial intelligence and how machines learn, then moves into prompt engineering, audio and image AI, document tools, cybersecurity and ethics, and practical uses like freelancing with AI skills. The lessons are lecture-style videos, mostly 45 to 80 minutes each, and are meant for students, beginners, and professionals who want a working understanding of generative AI. Note that the playlist order places a short law enforcement workshop clip first, even though it is labeled Lecture 1 Part 9. The main lecture sequence runs from Lecture 1 through Lecture 15.
Beginners who want a structured free introduction before deeper practice.
Lesson 1: How Law Enforcement Can Track Anyone Using Digital Traces Lecture 1 Part 9
A short clip from a workshop on generative AI for the judiciary and law enforcement. Prof. Dr. Usman Ghani Khan explains how everyday digital activity leaves traces that law enforcement can use. It is a brief excerpt, not a full lecture, and appears first in the playlist even though it is labeled Lecture 1 Part 9.
Open on YouTubeLesson 2: Generative AI for Beginners | Lecture 1 | What is Generative AI? | Digital Trainings
Lecture 1 introduces the core concepts of generative AI. It explains what generative AI is and how it differs from other kinds of AI. The lecture also previews real-world applications covered later in the course.
Open on YouTubeLesson 3: What is Artificial Intelligence? | AI in Daily Life | Generative AI for Beginners | Lecture 2
Lecture 2 answers the question of what artificial intelligence is. It shows how AI appears in daily life and explains the difference between AI and non-AI systems. The lecture also makes the case for why AI knowledge is useful.
Open on YouTubeLesson 4: How Machines Learn? | Human vs Machine Learning | AI Apps | Generative AI for Beginners | Lecture 3
Lecture 3 explains how machines learn and compares it with human learning. It also introduces common AI applications people use every day. The lecture builds on the basic AI concepts from Lecture 2.
Open on YouTubeLesson 5: Machine Learning & Prompt Engineering | Types of ML | Generative AI for Beginners | Lecture 4
Lecture 4 covers machine learning fundamentals and prompt engineering. It explains the main types of machine learning and how they differ. The lecture then connects these ideas to writing effective prompts.
Open on YouTubeLesson 6: Audio AI for Student Learning | Generative AI for Beginners | Lecture 5
Lecture 5 introduces audio AI and how it can support learning. It covers the basics of how machines process speech and sound. The lecture frames audio AI as a practical tool for students.
Open on YouTubeLesson 7: Audio AI for Student Learning & Study Tools | Generative AI for Beginners | Lecture 6
Lecture 6 continues the audio AI topic with a focus on study tools. It shows how audio AI can support learning through transcription, note-taking, and similar tasks. The lecture is aimed at students who want practical study aids.
Open on YouTubeLesson 8: Understanding Images & How AI Sees Images | Generative AI for Beginners | Lecture 7
Lecture 7 explains how AI sees and interprets images. It compares machine image understanding with human perception and covers how computers break images into data. This builds the foundation for later lectures on image generation.
Open on YouTubeLesson 9: Document AI & Image Generation for Students | Generative AI for Beginners | Lecture 8
Lecture 8 covers Document AI and image generation for students. It shows how AI can read, summarize, and work with documents, and how image generation fits into study workflows. The lecture is practical and aimed at student use cases.
Open on YouTubeLesson 10: AI Image Generation & Prompt Writing | AI Exposed | Generative AI for Beginners | Lecture 9
Lecture 9 goes into AI image generation and prompt writing. It shows how images are created from text prompts and how prompt wording affects the result. The lecture also touches on how AI-generated images can be misleading.
Open on YouTubeLesson 11: Cybersecurity & Ethical AI | Generative AI for Beginners | Lecture 10
Lecture 10 focuses on cybersecurity and ethical AI. It explains why digital security matters as AI tools become more common. The lecture also covers ethical principles for using AI responsibly.
Open on YouTubeLesson 12: Generative AI: Opportunities, Challenges & Future | Generative AI for Beginners | Lecture 11
Lecture 11 discusses where generative AI is heading. It covers the opportunities the technology creates along with the challenges it brings. The lecture also looks at what these changes may mean for work and learning.
Open on YouTubeLesson 13: AI PPT & Video Generation Tools| Cybersecurity & Ethical AI| Generative AI for Beginners| Lecture 12
Lecture 12 looks at AI tools for generating presentations and videos. It also connects these tools to cybersecurity and ethical AI concerns. The lecture mixes hands-on tool use with a discussion of safe and responsible practice.
Open on YouTubeLesson 14: Freelancing with AI Skills | Fiverr Account & Gig Creation | Generative AI for Beginners| Lecture 13
Lecture 13 moves from learning AI skills to earning with them. It walks through setting up a Fiverr account and creating a gig based on AI skills. The lecture is aimed at beginners who want to offer AI-related services online.
Open on YouTubeLesson 15: Different AI Tools for Students | Gen AI Tools Explained | Generative AI for Beginners | Lecture 14
Lecture 14 introduces a range of AI tools used in academic work. It explains what each tool does and how students can apply them to study, research, and assignments. The focus is on practical, everyday use rather than theory.
Open on YouTubeLesson 16: Responsibility, Accountability in AI Use | Ethical AI | Generative AI for Beginners | Lecture 15
Lecture 15 covers responsibility and accountability when using AI. It looks at who is answerable for AI-driven decisions and why ethical use matters in professional and academic settings. This is the final lecture in the series.
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