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Cheat sheet

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 h 34 min · videos by ExamPro

By the end you should be able to

  1. Tell AI, machine learning and generative AI apart
  2. Describe classification, regression and clustering
  3. Explain how large language models work and use them well

Watch in this order

  1. 1.Meet Your Instructor1 min
  2. 2.Course Overview: GenAI Essentials11 min
  3. 3.GenAI Roadmap with Rola42 min
  4. 4.What is AI? An Introduction to Artificial Intelligence3 min
  5. 5.AI vs Generative AI: What's the Difference?4 min
  6. 6.Introduction to Jupyter Notebooks: A Guide for Beginners3 min
  7. 7.What is NLP? Natural Language Processing Explained4 min
  8. 8.Classification in Machine Learning: Concepts and Techniques1 min
  9. 9.Understanding Regression in Machine Learning1 min
  10. 10.Types of Machine Learning3 min
  11. 11.What is Clustering in Machine Learning?1 min
  12. 12.Divisions of Machine Learning2 min
  13. 13.What is Classical Machine Learning?2 min
  14. 14.Supervised vs Unsupervised Learning: What’s the Difference?1 min
  15. 15.Supervised, Unsupervised, and Reinforcement Learning1 min
  16. 16.Unsupervised Learning Models2 min
  17. 17.Supervised Learning Models Explained1 min
  18. 18.Neural Networks and Deep Learning4 min
  19. 19.BERT4 min
  20. 20.BERT Lab21 min
  21. 21.BERT Consult with Rola34 min
  22. 22.Sentence Transformers2 min
  23. 23.Sentence Transformers Lab9 min
  24. 24.Introduction to Perceptrons: The Building Block of Neural Networks1 min
  25. 25.Basic Perceptron Network3 min
  26. 26.Activation Functions in Neural Networks Explained3 min
  27. 27.Linear Activation Function Explained1 min
  28. 28.Binary Step Activation Function Explained1 min
  29. 29.Sigmoid Activation Function: How It Works1 min
  30. 30.Tahn Activation Function1 min
  31. 31.ReLU Activation Function1 min
  32. 32.Leaky ReLU Activation Function1 min
  33. 33.ELU Activation Function1 min
  34. 34.Swish Activation Function1 min
  35. 35.Maxout Activation Function1 min
  36. 36.SoftMax Activation Function1 min
  37. 37.What is an Algorithm?2 min
  38. 38.What is an ML Model?2 min
  39. 39.What is a Feature in Machine Learning?1 min
  40. 40.What is Inference in Machine Learning?1 min
  41. 41.Parameters vs Hyperparameters: What's the Difference?2 min
  42. 42.What is Responsible AI? Ethics and Best Practices2 min
  43. 43.What is a Foundational Model?1 min
  44. 44.What is a Large Language Model (LLM)?2 min
  45. 45.Understanding Transformer Architecture in AI: AWS AI Practitioner AIF-C013 min
  46. 46.What is Tokenization in NLP?2 min
  47. 47.Tokens and Model Capacity2 min
  48. 48.What are Embeddings? Representing Data in AI3 min
  49. 49.What is Positional Encoding in Transformers?1 min
  50. 50.What is Attention in Machine Learning?3 min
  51. 51.Fine-Tuning Large Language Models (LLMs) Explained8 min
  52. 52.What is Data Labeling?1 min
  53. 53.What is Data Mining?1 min
  54. 54.Data Mining Methods Explained1 min
  55. 55.What is Knowledge Mining?2 min
  56. 56.What is Data Wrangling? Transforming Raw Data2 min
  57. 57.What is Data Modeling?1 min
  58. 58.What is Data Analytics?1 min
  59. 59.What is a Data Scientist?1 min
  60. 60.Data Roles Compared1 min
  61. 61.Train vs Test vs Validation Dataset1 min
  62. 62.What is a Corpus in Machine Learning?2 min
  63. 63.What is a Data Type?2 min
  64. 64.Leaderboards Consult with Rola: GenAI Essentials24 min
  65. 65.Intro AI Powered Assistants Lab12 min
  66. 66.Google Colab and SageMaker Studio Labs Lab15 min
  67. 67.Azure ML Studio Notebooks Lab7 min
  68. 68.Lightning AI Basics Lab6 min
  69. 69.Gitpod Lab5 min
  70. 70.GitHub Codespaces Lab6 min
  71. 71.Deepnote Lab6 min
  72. 72.Setup Conda Lab13 min
  73. 73.Installing Python Libraries with Conda12 min
  74. 74.VSCode Notebooks Ipykernel16 min
  75. 75.Jupyter Lab Setup12 min
  76. 76.Zero Shot1 min
  77. 77.Few Shot1 min
  78. 78.Prompt Chaining1 min
  79. 79.Chain of Thought1 min
  80. 80.Tree of Thought1 min
  81. 81.Tree-of-Thought Lab13 min
  82. 82.CO-STAR Framework1 min
  83. 83.ReAct Lab29 min
  84. 84.OpenAI Playground6 min
  85. 85.Anthropic Workbench14 min
  86. 86.Google Vertex AI Workbench Lab8 min
  87. 87.Cohere Playground7 min
  88. 88.AI21 Playground Lab8 min
  89. 89.Amazon Bedrock Basics Lab17 min
  90. 90.Google Cloud Vertex AI11 min
  91. 91.Google Cloud Vertex AI Studio5 min
  92. 92.Azure AI Foundry20 min
  93. 93.Hugging Face Pipelines Lab30 min
  94. 94.Hugging Face Direct Model Lab16 min
  95. 95.Hugging Face Spaces Lab17 min
  96. 96.Hugging Face Datasets Lab31 min
  97. 97.Ollama1 min
  98. 98.Ollama Lab23 min
  99. 99.Llamafile1 min
  100. 100.Llamafile Lab17 min
  101. 101.LangChain2 min
  102. 102.LlamaIndex2 min
  103. 103.Llama.cpp1 min
  104. 104.Llama.cpp Lab13 min
  105. 105.Bitnet.cpp2 min
  106. 106.GGUF and GGML2 min
  107. 107.Context Window Caching3 min
  108. 108.Structured JSON Generation4 min
  109. 109.Instructor1 min
  110. 110.Open WebUI Lab31 min
  111. 111.GitHub Copilot Lab27 min
  112. 112.Amazon Q Developer Lab30 min
  113. 113.Gemini Code Assist Lab21 min
  114. 114.Codeium Windsurf Lab24 min
  115. 115.Cursor AI Lab18 min
  116. 116.SourceGraph Cody Lab10 min
  117. 117.StakPak Lab3 min
  118. 118.V0 Lab25 min
  119. 119.Gradio Lab1 h 0 min
  120. 120.Streamlit31 min
  121. 121.Lovable Lab40 min
  122. 122.FastHTML Lab40 min
  123. 123.Sandboxing LLMs1 min
  124. 124.OPEA4 min
  125. 125.OPEA Lab47 min
  126. 126.KServe1 min
  127. 127.VLLM1 min
  128. 128.Ray Serve1 min
  129. 129.Text Generation Inference (TGI) and Text Embedding Inference (TEI)1 min
  130. 130.TensorRT LLM1 min
  131. 131.Intel Tiber AI Cloud Lab5 min
  132. 132.Runpod AI16 min
  133. 133.Groq Lab11 min
  134. 134.Replicate10 min
  135. 135.CloudFlare AI Workers39 min
  136. 136.Tensor Processing Units (TPUs)1 min
  137. 137.IGPUs2 min
  138. 138.Vision Processing Units (VPUs)1 min
  139. 139.Medusa1 min
  140. 140.Flash Attention1 min
  141. 141.LitGPT3 min
  142. 142.Quantization2 min
  143. 143.Knowledge Distillation2 min
  144. 144.Quantization with Rola26 min
  145. 145.Pinecone Lab23 min
  146. 146.ElasticSearch Lab34 min
  147. 147.MongoDB Lab21 min
  148. 148.PgVector Lab18 min
  149. 149.SerpAPI Lab19 min
  150. 150.OpenHands Lab12 min
  151. 151.CrewAI20 min
  152. 152.Deploying n8n on Hostinger1 h 1 min

Before you start: Computer basics

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