Artificial Intelligence (AI): Master Basic Concepts

Name: Artificial Intelligence (AI): Master Basic Concepts
Rating: 4.4 (17 reviews)

Understanding Artificial Intelligence (AI), ML, DL, Generative AI: Key Concepts, Terminology, and Real-World Use Cases

Created byAnu Vellaboyana

Last updated 2/2025

English

What you'll learn

Learners will be able to clearly differentiate between these core technologies: Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
Learners will explore real-world examples of how AI, ML, DL, and Generative AI are applied across various industries.
Learners will understand the fundamental ideas behind AI, ML, DL, and Generative AI in an easy-to-grasp way.
Learners will develop the ability to choose the right tool (AI, ML, DL, or Generative AI) based on the problem at hand.

Course content

3 sections • 24 lectures • 55m total length

Introduction1:17
What is Artificial Intelligence?1:30
Explore what artificial intelligence is by contrasting human intelligence with machine thinking guided by human defined rules. See how a simple chatbot illustrates plain vanilla AI.
Machine Learning and Types of Algorithms9:16
Discover the three types of machine learning—supervised, unsupervised, and reinforcement—learning from labeled data, classification and regression, and reward-based feedback, with examples from spam filtering, Netflix recommendations, and self-driving cars.
Deep Learning2:54
Key Takeaway0:42
Buckle Up for Next Section0:29
Dive into the generative AI landscape as part of the next AI series, exploring the coolest developments in AI and gearing up for the next section.

Introduction1:40
Explore the hype around generative AI and compare traditional Siri with a gen AI makeover. Learn to use AI responsibly as imagination becomes reality.
Get introduced to my buddy Spark, an AI Companion0:50
Students will meet Spark, the AI buddy, and understand its role in supporting learning throughout the course.
Introduction to Generative AI and Use Cases7:24
Discover generative ai, a deep learning subset that creates new content such as text, images, audio, video, and code, using transformers and chatgpt-like conversational capabilities and sentiment analysis.
Generative AI Key Terminologies0:13
Large Language Model4:26
Learn how large language models use transformers to understand and generate human-like text, trained on vast data and billions of parameters from systems like ChatGPT, Llama, and Gemini.
Prompt Engineering1:44
Learn to craft precise prompts for AI systems and understand prompt engineering to guarantee reliable outputs, guided by the garbage in, garbage out principle.
Embeddings3:05
Convert words into numbers so computers understand meaning, context, and sentiment. Chunk text into tokens and feed them to a neural network to generate embeddings.
Fine Tuning0:50
Apply fine tuning to train the model on our data set atop the vanilla model to yield domain-specific, relevant answers. Explore supervised, unsupervised, and reinforcement learning approaches.
Generative AI Orchestration1:06
Train neural networks with large training data and create word embeddings. Learn patterns, apply fine tuning, perform prompt engineering, and generate output from the large language model.
AI Evolution0:42
Key Takeaway0:45
Generative AI extends beyond text, video, and images to music, game development, and healthcare. It enables synthetic medical data, drug discovery, and clinical trial planning, forecasting limitless applications.
Buckle Up for Next Section0:31

Types of AI by Capability- Weak AI, Strong AI, Super AI3:12
Explore the AI types—weak AI (artificial narrow intelligence), strong AI, and super AI—defined by learning and applicability, with weak AI as reality and examples like voice assistants and chat models.
Types of AI by Functionality - Reactive Machines, Limited Memory etc.4:19
Why AI is Spreading like Wildfire2:15
Explore how accessibility and user friendliness unlock AI for non-experts. Discover economic potential, increased productivity, high quality outputs, rapid advancements, and open source collaboration that drive innovation.
Why AI is Incredibly Smart and Shockingly Stupid1:22
Explore why AI shines in many tasks yet struggles with common sense, and why bridging the common sense gap is crucial as external factors like sunlight and humidity influence outcomes.
Ethics and Challenges - Double-Edged Sword3:44
Promote data privacy, accountability, and bias awareness with transparent, explainable AI, model auditing, diverse training data, and ethical guidelines to prevent deepfakes and misuse.
Key Takeaway and Closure1:29
The lecture explains the ethics and challenges of ai and how clean, accurate data fuels ai to understand the world.

Requirements

No prior experience with AI or programming required – This course is designed for beginners with an interest in AI, ML, DL, and Generative AI.
A basic understanding of technology and curiosity to learn – Ideal for learners who have a general interest in how modern technology works.
An internet-connected device – Learners will need access to a computer or mobile device.
Willingness to explore new concepts – A mindset open to learning about emerging technologies.

Description

Hey, friends! Ever been curious about buzzwords like Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI, and how they connect to each other? These concepts are reshaping the future, but how do they actually connect and impact the world around us? Well, you're in the right place! I’ve dived deep into a sea of information, sifted through endless data, and brought it all together into a simple, high-level guide. You don’t need a tech degree to grasp these exciting ideas—I've distilled them into bite-sized, easy-to-understand pieces. Whether you're a tech lover, a curious learner, or just someone intrigued by the amazing power of AI, this journey is packed with insights that will get you thinking, inspired, and ready to dive deeper!

This isn’t just another dull tech talk—my AI assistant Spark will sprinkle (or should I say sparkle) in some humor along the way! Get ready for an engaging journey that opens the door to understanding how AI is transforming industries, sparking creativity, and shaping everyday life. We’ll explore real-world applications, industry trends, and future possibilities together. Buckle up for an exciting ride!

By the end of this journey, you'll have a clear grasp of these technologies and how they’re driving innovation. Let's dive in!

Who this course is for:

Beginners curious about AI, ML, DL, and Generative AI – People with little to no prior knowledge who want to learn the basic concepts.
Students and professionals exploring careers in technology – Individuals who are considering a career in tech or data science and want foundational knowledge.
Business leaders and decision-makers – Professionals seeking to understand these technologies for strategic purposes in their industry.
Anyone interested in the future of AI and emerging technologies – Lifelong learners who want to stay updated on the latest advancements in AI.

Artificial Intelligence (AI): Master Basic Concepts

What you'll learn

Explore related topics

Course content

AI Vs. ML Vs. DL Demystify6 lectures • 16min

Generative AI: From Imagination to Reality12 lectures • 23min

Generative AI: Speak the Lingo Like a Local6 lectures • 16min

Requirements

Description

Who this course is for: