beeon.academy
aiBeginner

AI Fundamentals

AI foundations: data, classic ML, neural nets peek, tokens/embeddings, LLM prompts, hallucinations, RAG peek, eval and safety.

AIMLLLMpromptingembeddingsRAG
Duration
8 weeks
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Starting from
49 000 ֏
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  • 8 weeks (48h total)
  • Starts
  • online format
  • HY · EN · RU
  • Certificate on completion
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What this course is about

Overview

AI foundations: data, classic ML, neural nets peek, tokens/embeddings, LLM prompts, hallucinations, RAG peek, eval and safety.

Across 8 weeks (48 hours of live + project work) you’ll move from fundamentals to shipping a real, production-grade project — guided by Tigran Hakobyan and the beeon.academy mentor team.

Learning outcomes

What you will learn

Install/connect to Percona Server
Write MySQL-compatible SQL with InnoDB habits
Know XtraBackup and Toolkit by name
Finish a mini lab + dump habit
Interactive course

Lessons

74 lessons · all open, start with any
  1. 1What counts as AI?30 min
  2. 2AI vs hard-coded rules30 min
  3. 3Narrow AI vs AGI talk30 min
  4. 4AI, ML, DL nested map35 min
  5. 5Where AI shows up at work30 min
  6. 6Hype vs useful claims30 min
  7. 7Practice habit25 min
  8. 8Ethics peek early30 min
  9. 9Map of this course25 min
  10. 10Data as fuel35 min
  11. 11What is a dataset?35 min
  12. 12Labels and annotation35 min
  13. 13Features peek35 min
  14. 14Train / validation / test split40 min
  15. 15Data leakage peek35 min
  16. 16Bias in data35 min
  17. 17Privacy and PII habits30 min
  18. 18Lab — describe a tiny dataset40 min
  19. 19Supervised learning35 min
  20. 20Unsupervised peek30 min
  21. 21Regression vs classification35 min
  22. 22What a model is30 min
  23. 23Training vs inference35 min
  24. 24Loss — how wrong are we?35 min
  25. 25Overfitting and underfitting40 min
  26. 26Metrics peek (accuracy and friends)40 min
  27. 27Always beat a baseline30 min
  28. 28Lab — pick task + metric + split40 min
  29. 29Neuron and layer peek30 min
  30. 30Neural network idea35 min
  31. 31Gradient descent peek35 min
  32. 32Why GPUs show up25 min
  33. 33CNN peek for images30 min
  34. 34Sequence models peek25 min
  35. 35Transfer learning peek30 min
  36. 36Lab — sketch a tiny net35 min
  37. 37NLP idea30 min
  38. 38Tokens — how text is chopped40 min
  39. 39Embeddings peek40 min
  40. 40Attention peek35 min
  41. 41Transformer era40 min
  42. 42Pretraining on big text35 min
  43. 43Context window30 min
  44. 44Lab — tokenize a sentence by hand35 min
  45. 45What is an LLM?35 min
  46. 46Base model vs chat model30 min
  47. 47Prompt as the interface40 min
  48. 48System vs user messages30 min
  49. 49Few-shot examples35 min
  50. 50Temperature and sampling peek30 min
  51. 51Hallucinations40 min
  52. 52RAG peek40 min
  53. 53Fine-tuning peek30 min
  54. 54Lab — write one solid prompt40 min
  55. 55Multimodal peek30 min
  56. 56Speech / ASR peek25 min
  57. 57API cloud vs local models30 min
  58. 58Tools and function calling peek30 min
  59. 59From fundamentals to agents25 min
  60. 60Link to vibe coding habits25 min
  61. 61Human eval habits35 min
  62. 62Offline vs online metrics30 min
  63. 63Safety and misuse awareness35 min
  64. 64Jailbreak awareness (defensive)30 min
  65. 65Cost and latency habits30 min
  66. 66Logging prompts carefully30 min
  67. 67Model and prompt versioning25 min
  68. 68Lab — eval checklist for one prompt35 min
  69. 69Roles around AI30 min
  70. 70Mental stack map30 min
  71. 71Common myths to drop25 min
  72. 72Next — AI Agents course25 min
  73. 73Keep a weekly AI lab25 min
  74. 74Capstone — mini AI product brief50 min
Course modules

Syllabus

  1. 1
    • 2
    • 3
    • 4
    What you need to start

    Requirements

    • A laptop and willingness to run Percona or a MySQL-compatible server
    • MySQL/MariaDB basics help
    • No prior DBA experience required
    Learn from a working engineer

    Your instructor

    TH

    Tigran Hakobyan

    Backend Mentor · beeon.academy

    Instructor at beeon.academy. Percona path (ArT list Persona): 39 lessons through the capstone.

    What graduates say

    Student reviews

    Common questions

    FAQ

    No — vibe coding was the previous course. Here we cover agents with tools and loops.
    Starting from
    49 000 ֏
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