The AI Engineer Course 2025 Complete AI Engineer Bootcamp

The AI Engineer Course 2025 Complete AI Engineer Bootcamp

1 - Intro to AI Module Getting started

10 - Python Module Why Python

11 - Python Module Setting Up the Environment

12 - Python Module Python Variables and Data Types

13 - Python Module Basic Python Syntax

14 - Python Module More on Operators

15 - Python Module Conditional Statements

16 - Python Module Functions

17 - Python Module Sequences

18 - Python Module Iteration

19 - Python Module A Few Important Python Concepts and Terms

2 - Intro to AI Module Data is essential for building AI

20 - NLP Module Introduction

21 - NLP Module Text Preprocessing

22 - NLP Module Identifying Parts of Speech and Named Entities

23 - NLP Module Sentiment Analysis

24 - NLP Module Vectorizing Text

25 - NLP Module Topic Modelling

26 - NLP Module Building Your Own Text Classifier

27 - NLP Module Categorizing Fake News Case Study

28 - NLP Module The Future of NLP

29 - LLMs Module Introduction to Large Language Models

3 - Intro to AI Module Key AI techniques

30 - LLMs Module The Transformer Architecture

31 - LLMs Module Getting Started With GPT Models

32 - LLMs Module Hugging Face Transformers

33 - LLMs Module Question and Answer Models With BERT

34 - LLMs Module Text Classification With XLNet

35 - LangChain Module Introduction

36 - LangChain Module Tokens Models and Prices

37 - LangChain Module Setting Up the Environment

38 - LangChain Module The OpenAI API

39 - LangChain Module Model Inputs

4 - Intro to AI Module Important AI branches

40 - LangChain Module Message History and Chatbot Memory

41 - LangChain Module Output Parsers

42 - LangChain Module LangChain Expression Language LCEL

43 - LangChain Module Retrieval Augmented Generation RAG

44 - LangChain Module Tools and Agents

45 - Vector Databases Module Introduction

46 - Vector Databases Module Basics of Vector Space and HighDimensional Data

47 - Vector Databases Module Introduction to The Pinecone Vector Database

48 - Vector Databases Module Semantic Search with Pinecone and Custom Case Study

49 - Speech Recognition Module Introduction

5 - Intro to AI Module Understanding Generative AI

50 - Speech Recognition Module Sound and Speech Basics

51 - Speech Recognition Module Analog to Digital Conversion

52 - Speech Recognition Module Audio Feature Extraction for AI Applications

53 - Speech Recognition Module Technology Mechanics

54 - Speech Recognition Module Setting Up the Environment

55 - Speech Recognition Module Transcribing Audio with Google Web Speech API

56 - Speech Recognition Module Background Noise and Spectrograms

57 - Speech Recognition Module Transcribing Audio with OpenAIs Whisper

58 - Speech Recognition Module Final Discussion and Future Directions

59 - LLM Engineering Module Introduction

6 - Intro to AI Module Practical challenges in Generative AI

60 - LLM Engineering Module Planning stage

61 - LLM Engineering Module Crafting and Testing AI Prompts

62 - LLM Engineering Module Getting to Know Streamlit

63 - LLM Engineering Module Developing the prototype

64 - LLM Engineering Module Solving RealWorld AI Challenges

65 - AI Ethics Module Introduction to AI and Data Ethics

66 - AI Ethics Module The Core Principles of AI Ethics

67 - AI Ethics Module Ethical Data Collection

68 - AI Ethics Module Ethical AI Development

69 - AI Ethics Module Ethical AI Deployment

7 - Intro to AI Module The AI tech stack

70 - AI Ethics Module Ethical AI for EndUsers Businesses

71 - AI Ethics Module Ethical AI for EndUsers Individuals

72 - AI Ethics Module ChatGPT Ethics

73 - AI Ethics Module Data and AI Regulatory Frameworks

8 - Intro to AI Module AI job positions

9 - Intro to AI Module Looking ahead

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