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AI Bible: From Beginner to Builder in 100 Projects
J
6/14/2025
·
2 min read
Course Overview
Course Title:
AI Bible: From Beginner to Builder in 100 Projects
Instructor:
Vivian Aranha
Target Audience:
Beginners
Self-taught developers
Seasoned engineers looking to pivot into AI
Prerequisites:
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
Curriculum Highlights
Key Topics Covered:
Core concepts in NLP, computer vision, and agents
Libraries like PyTorch, TensorFlow, HuggingFace, and LangChain
AI apps with Streamlit, FastAPI, and Gradio
Fine-tuning LLMs and building RAG and agentic systems locally
AI in real-world domains: health, finance, education, etc.
Integration of speech, image, and text models into full-stack apps
Evaluation and testing LLMs for safety, alignment, and accuracy
Tools like ChromaDB, Ollama, and LangGraph offline
Ethical, aligned, and human-centered AI systems
Key Skills Learned:
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
Course Format
Duration:
3 hours on-demand video
10 articles
100 downloadable resources
Format:
Self-paced online course
Resources:
Role Play
Access on mobile and TV
Certificate of completion
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