Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Overview
Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on projects. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming.
Courses in this learning path or series 5
- Introduction to AI Programming
Welcome to the AI programming with python Nanodegree Program! Come and explore the beautiful world of AI.
- Beginner Python PCEP™ Certification Prep
Prepare for the Python PCEP certification while deepening your skills in syntax, functions, control flow, and more. This course builds a strong foundation for coding and career readiness.
- Numpy, Pandas, Matplotlib
Strengthen your Python data skills by working with NumPy, Pandas, and Matplotlib to analyze, transform, and visualize data using industry-standard tools used across data teams.
- Neural Networks - AI Programming with Python
This course on neural networks explains how algorithms inspired by the human brain operate and puts to use those concepts when designing neural networks to solve particular problems.
- Programming Transformers with PyTorch
This course will guide you through the essential concepts of Transformer Neural Networks and their implementation using PyTorch. Starting with an introduction to Transformers, you will learn to build and train Transformer models from scratch. Additionally, you will explore the advantages of using p…
Skills you'll practise
Advantages and disadvantages
Advantages
- Rated 4.7 out of 5 by 664 learners.
- Self-paced: start any time.
- A clear syllabus (5 parts) you can see before you start.
Disadvantages
- Paid.
- Short (5 minutes): an overview, not deep coverage.
Some points apply to every course of this kind; see how we rank.
Paid
- Paid: Udacity sells a monthly or yearly subscription that covers its courses and Nanodegree programs. Check the current price on the official page.
- Certificate: Check on the course page what the paid plan includes.
Before you start
Elementary algebra. Linear algebra. Basic github. Basic calculus
Taught by
- Brian Hough
- Mat Leonard
- Juan Delgado
- Juno Lee
- Mike Yi, PhD
- Luis Serrano, PhD
- Ivan Mushketyk
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