GenAI Essentials
What AI, machine learning and generative AI are, and how to use LLMs, explained for beginners.
- Study & career skills
- Beginner
- English
- 152 videos · 23.5 h
- Updated Jun 2026
Videos by ExamPro · 18.3K views on this playlist
About this course
ExamPro's GenAI Essentials course by Andrew Brown. It begins with a roadmap, explains AI versus generative AI, Jupyter notebooks, natural language processing, the main kinds of machine learning, then how large language models work and how to use them, with hands-on labs.
What you'll be able to do
- 1Tell AI, machine learning and generative AI apart
- 2Describe classification, regression and clustering
- 3Explain how large language models work and use them well
Videos
Start with video 1 →MODULE 1Videos 1–1010 lessons · 73 min
- Meet Your Instructor1 min
- Course Overview: GenAI Essentials11 min
- GenAI Roadmap with Rola42 min
- What is AI? An Introduction to Artificial Intelligence3 min
- AI vs Generative AI: What's the Difference?4 min
- Introduction to Jupyter Notebooks: A Guide for Beginners3 min
- What is NLP? Natural Language Processing Explained4 min
- Classification in Machine Learning: Concepts and Techniques1 min
- Understanding Regression in Machine Learning1 min
- Types of Machine Learning3 min
MODULE 2Videos 11–2010 lessons · 39 min
- What is Clustering in Machine Learning?1 min
- Divisions of Machine Learning2 min
- What is Classical Machine Learning?2 min
- Supervised vs Unsupervised Learning: What’s the Difference?1 min
- Supervised, Unsupervised, and Reinforcement Learning1 min
- Unsupervised Learning Models2 min
- Supervised Learning Models Explained1 min
- Neural Networks and Deep Learning4 min
- BERT4 min
- BERT Lab21 min
MODULE 3Videos 21–3010 lessons · 56 min
- BERT Consult with Rola34 min
- Sentence Transformers2 min
- Sentence Transformers Lab9 min
- Introduction to Perceptrons: The Building Block of Neural Networks1 min
- Basic Perceptron Network3 min
- Activation Functions in Neural Networks Explained3 min
- Linear Activation Function Explained1 min
- Binary Step Activation Function Explained1 min
- Sigmoid Activation Function: How It Works1 min
- Tahn Activation Function1 min
MODULE 4Videos 31–4010 lessons · 12 min
- ReLU Activation Function1 min
- Leaky ReLU Activation Function1 min
- ELU Activation Function1 min
- Swish Activation Function1 min
- Maxout Activation Function1 min
- SoftMax Activation Function1 min
- What is an Algorithm?2 min
- What is an ML Model?2 min
- What is a Feature in Machine Learning?1 min
- What is Inference in Machine Learning?1 min
MODULE 5Videos 41–5010 lessons · 21 min
- Parameters vs Hyperparameters: What's the Difference?2 min
- What is Responsible AI? Ethics and Best Practices2 min
- What is a Foundational Model?1 min
- What is a Large Language Model (LLM)?2 min
- Understanding Transformer Architecture in AI: AWS AI Practitioner AIF-C013 min
- What is Tokenization in NLP?2 min
- Tokens and Model Capacity2 min
- What are Embeddings? Representing Data in AI3 min
- What is Positional Encoding in Transformers?1 min
- What is Attention in Machine Learning?3 min
MODULE 6Videos 51–6010 lessons · 19 min
- Fine-Tuning Large Language Models (LLMs) Explained8 min
- What is Data Labeling?1 min
- What is Data Mining?1 min
- Data Mining Methods Explained1 min
- What is Knowledge Mining?2 min
- What is Data Wrangling? Transforming Raw Data2 min
- What is Data Modeling?1 min
- What is Data Analytics?1 min
- What is a Data Scientist?1 min
- Data Roles Compared1 min
MODULE 7Videos 61–7010 lessons · 80 min
- Train vs Test vs Validation Dataset1 min
- What is a Corpus in Machine Learning?2 min
- What is a Data Type?2 min
- Leaderboards Consult with Rola: GenAI Essentials24 min
- Intro AI Powered Assistants Lab12 min
- Google Colab and SageMaker Studio Labs Lab15 min
- Azure ML Studio Notebooks Lab7 min
- Lightning AI Basics Lab6 min
- Gitpod Lab5 min
- GitHub Codespaces Lab6 min
MODULE 8Videos 71–8010 lessons · 64 min
- Deepnote Lab6 min
- Setup Conda Lab13 min
- Installing Python Libraries with Conda12 min
- VSCode Notebooks Ipykernel16 min
- Jupyter Lab Setup12 min
- Zero Shot1 min
- Few Shot1 min
- Prompt Chaining1 min
- Chain of Thought1 min
- Tree of Thought1 min
MODULE 9Videos 81–9010 lessons · 114 min
- Tree-of-Thought Lab13 min
- CO-STAR Framework1 min
- ReAct Lab29 min
- OpenAI Playground6 min
- Anthropic Workbench14 min
- Google Vertex AI Workbench Lab8 min
- Cohere Playground7 min
- AI21 Playground Lab8 min
- Amazon Bedrock Basics Lab17 min
- Google Cloud Vertex AI11 min
MODULE 10Videos 91–10010 lessons · 161 min
- Google Cloud Vertex AI Studio5 min
- Azure AI Foundry20 min
- Hugging Face Pipelines Lab30 min
- Hugging Face Direct Model Lab16 min
- Hugging Face Spaces Lab17 min
- Hugging Face Datasets Lab31 min
- Ollama1 min
- Ollama Lab23 min
- Llamafile1 min
- Llamafile Lab17 min
MODULE 11Videos 101–11010 lessons · 61 min
- LangChain2 min
- LlamaIndex2 min
- Llama.cpp1 min
- Llama.cpp Lab13 min
- Bitnet.cpp2 min
- GGUF and GGML2 min
- Context Window Caching3 min
- Structured JSON Generation4 min
- Instructor1 min
- Open WebUI Lab31 min
MODULE 12Videos 111–12010 lessons · 249 min
- GitHub Copilot Lab27 min
- Amazon Q Developer Lab30 min
- Gemini Code Assist Lab21 min
- Codeium Windsurf Lab24 min
- Cursor AI Lab18 min
- SourceGraph Cody Lab10 min
- StakPak Lab3 min
- V0 Lab25 min
- Gradio Lab60 min
- Streamlit31 min
MODULE 13Videos 121–13010 lessons · 137 min
- Lovable Lab40 min
- FastHTML Lab40 min
- Sandboxing LLMs1 min
- OPEA4 min
- OPEA Lab47 min
- KServe1 min
- VLLM1 min
- Ray Serve1 min
- Text Generation Inference (TGI) and Text Embedding Inference (TEI)1 min
- TensorRT LLM1 min
MODULE 14Videos 131–14010 lessons · 87 min
- Intel Tiber AI Cloud Lab5 min
- Runpod AI16 min
- Groq Lab11 min
- Replicate10 min
- CloudFlare AI Workers39 min
- Tensor Processing Units (TPUs)1 min
- IGPUs2 min
- Vision Processing Units (VPUs)1 min
- Medusa1 min
- Flash Attention1 min
MODULE 15Videos 141–15010 lessons · 160 min
- LitGPT3 min
- Quantization2 min
- Knowledge Distillation2 min
- Quantization with Rola26 min
- Pinecone Lab23 min
- ElasticSearch Lab34 min
- MongoDB Lab21 min
- PgVector Lab18 min
- SerpAPI Lab19 min
- OpenHands Lab12 min
MODULE 16Videos 151–1522 lessons · 81 min
- CrewAI20 min
- Deploying n8n on Hostinger61 min
- Before you start
- Computer basics
- Accessibility
- YouTube captions where the creator provides them · Keyboard-accessible player · Notes and bookmarks
Where these videos come from
Every lesson plays the original video from ExamPro with YouTube's own player, so views and credit stay with the creator. We picked this playlist because it's complete, in order, and recently updated. SkillSpring adds progress tracking, notes, bookmarks and focus mode around it.
Playlist: “GenAI Essentials” · 152 videos · last updated Jun 2026. Open on YouTube