Udemy - AI Bible - From Beginner to Builder in 100 Projects
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Last checked: Jun. 24th '25
Date uploaded: Jun. 24th '25
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INFO HASH: 57D91B5818FEF2C7ABC55D8C259D7C4F95FE90D1
AI Bible: From Beginner to Builder in 100 Projects
https://WebToolTip.com
Published 5/2025
Created by Vivian Aranha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 8m ) | Size: 2.4 GB
Master AI by building 100 real-world projects using Python, LLMs, agents, tools like LangChain, Ollama, and Streamlit
What you'll learn
Build and deploy 100 practical AI and ML projects from scratch
Understand core concepts in NLP, computer vision, and agents
Use libraries like PyTorch, TensorFlow, HuggingFace, and LangChain
Create AI apps with Streamlit, FastAPI, and Gradio
Fine-tune LLMs and build RAG and agentic systems locally
Apply AI in real-world domains: health, finance, education, etc.
Integrate speech, image, and text models into full-stack apps
Evaluate and test LLMs for safety, alignment, and accuracy
Use tools like ChromaDB, Ollama, and LangGraph offline
Develop ethical, aligned, and human-centered AI systems
Requirements
A basic understanding of Python programming (variables, functions, loops)
Familiarity with using Jupyter Notebooks or any Python IDE
An interest in exploring how AI works through real-world projects
A computer with at least 8GB of RAM and a stable internet connection
(Optional) Basic knowledge of machine learning or data science concepts
No prior AI/ML experience is required. This course will guide you from foundational topics to advanced projects step by step.
https://WebToolTip.com
Published 5/2025
Created by Vivian Aranha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 8m ) | Size: 2.4 GB
Master AI by building 100 real-world projects using Python, LLMs, agents, tools like LangChain, Ollama, and Streamlit
What you'll learn
Build and deploy 100 practical AI and ML projects from scratch
Understand core concepts in NLP, computer vision, and agents
Use libraries like PyTorch, TensorFlow, HuggingFace, and LangChain
Create AI apps with Streamlit, FastAPI, and Gradio
Fine-tune LLMs and build RAG and agentic systems locally
Apply AI in real-world domains: health, finance, education, etc.
Integrate speech, image, and text models into full-stack apps
Evaluate and test LLMs for safety, alignment, and accuracy
Use tools like ChromaDB, Ollama, and LangGraph offline
Develop ethical, aligned, and human-centered AI systems
Requirements
A basic understanding of Python programming (variables, functions, loops)
Familiarity with using Jupyter Notebooks or any Python IDE
An interest in exploring how AI works through real-world projects
A computer with at least 8GB of RAM and a stable internet connection
(Optional) Basic knowledge of machine learning or data science concepts
No prior AI/ML experience is required. This course will guide you from foundational topics to advanced projects step by step.