Course Content
Udemy – The AI Engineer Course 2025: Complete AI Engineer Bootcamp
0/73
01. Intro to AI Module Getting started
27:25
02. Intro to AI Module Data is essential for building AI
09:39
03. Intro to AI Module Key AI techniques
20:18
04. Intro to AI Module Important AI branches
14:34
05. Intro to AI Module Understanding Generative AI
37:35
06. Intro to AI Module Practical challenges in Generative AI
09:35
07. Intro to AI Module The AI tech stack
20:54
08. Intro to AI Module AI job positions
13:30
09. Intro to AI Module Looking ahead
10:20
10. Python Module Why Python
09:37
11. Python Module Setting Up the Environment
27:42
12. Python Module Python Variables and Data Types
12:24
13. Python Module Basic Python Syntax
11:33
14. Python Module More on Operators
07:47
15. Python Module Conditional Statements
13:35
16. Python Module Functions
18:37
17. Python Module Sequences
19:08
18. Python Module Iteration
17:59
19. Python Module A Few Important Python Concepts and Terms
23:11
20. NLP Module Introduction
07:18
21. NLP Module Text Preprocessing
40:13
22. NLP Module Identifying Parts of Speech and Named Entities
19:18
23. NLP Module Sentiment Analysis
17:29
24. NLP Module Vectorizing Text
08:20
25. NLP Module Topic Modelling
18:04
26. NLP Module Building Your Own Text Classifier
09:34
27. NLP Module Categorizing Fake News (Case Study)
49:27
28. NLP Module The Future of NLP
08:24
29. LLMs Module Introduction to Large Language Models
15:18
30. LLMs Module The Transformer Architecture
22:38
31. LLMs Module Getting Started With GPT Models
33:03
32. LLMs Module Hugging Face Transformers
26:23
33. LLMs Module Question and Answer Models With BERT
30:32
34. LLMs Module Text Classification With XLNet
25:38
35. LangChain Module Introduction
20:21
36. LangChain Module Tokens, Models, and Prices
09:36
37. LangChain Module Setting Up the Environment
12:59
38. LangChain Module The OpenAI API
16:41
39. LangChain Module Model Inputs
42:12
40. LangChain Module Message History and Chatbot Memory
32:37
41. LangChain Module Output Parsers
08:47
42. LangChain Module LangChain Expression Language (LCEL)
01:13:03
43. LangChain Module Retrieval Augmented Generation (RAG)
01:25:44
44. LangChain Module Tools and Agents
35:52
45. Vector Databases Module Introduction
12:18
46. Vector Databases Module Basics of Vector Space and High-Dimensional Data
14:36
47. Vector Databases Module Introduction to The Pinecone Vector Database
28:17
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)
01:01:23
49. Speech Recognition Module Introduction
16:37
50. Speech Recognition Module Sound and Speech Basics
12:34
51. Speech Recognition Module Analog to Digital Conversion
09:48
52. Speech Recognition Module Audio Feature Extraction for AI Applications
22:24
53. Speech Recognition Module Technology Mechanics
36:23
54. Speech Recognition Module Setting Up the Environment
14:39
55. Speech Recognition Module Transcribing Audio with Google Web Speech API
32:11
56. Speech Recognition Module Background Noise and Spectrograms
20:14
57. Speech Recognition Module Transcribing Audio with OpenAI’s Whisper
21:30
58. Speech Recognition Module Final Discussion and Future Directions
11:29
59. LLM Engineering Module Introduction
10:53
60. LLM Engineering Module Planning stage
43:46
61. LLM Engineering Module Crafting and Testing AI Prompts
22:42
62. LLM Engineering Module Getting to Know Streamlit
27:05
63. LLM Engineering Module Developing the prototype
46:01
64. LLM Engineering Module Solving Real-World AI Challenges
32:12
65. AI Ethics Module Introduction to AI and Data Ethics
21:33
66. AI Ethics Module The Core Principles of AI Ethics
15:21
67. AI Ethics Module Ethical Data Collection
17:19
68. AI Ethics Module Ethical AI Development
22:40
69. AI Ethics Module Ethical AI Deployment
21:49
70. AI Ethics Module Ethical AI for End-Users Businesses
16:11
71. AI Ethics Module Ethical AI for End-Users Individuals
09:33
72. AI Ethics Module ChatGPT Ethics
26:32
73. AI Ethics Module Data and AI Regulatory Frameworks
14:29
Udemy – The AI Engineer Course 2025: Complete AI Engineer Bootcamp

00:00 – 0. Course Preview

01:51 – 1. Building an AI tool in 5 minutes A quick demo

12:07 – 2. What does the course cover

15:25 – 3. Natural vs Artificial Intelligence

17:32 – 4. Brief history of AI

22:13 – 5. Demystifying AI, Data science, Machine learning, and Deep learning

24:41 – 6. Weak vs Strong AI

Exercise Files
Download Exercise Files.
Size: 435.00 B
Previous
Next
0% Complete