Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Skills you'll gain: Data Presentation, Interactive Data Visualization, Google Gemini, Analytics, Business Analytics, Performance Measurement, Data Wrangling, AI Personalization, Artificial Intelligence, Model Evaluation, Performance Analysis, AI Enablement, AI Workflows, Generative AI, Simulation and Simulation Software, Google Workspace, Responsible AI
★ 4.7 (272) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Google Cloud Platform, Responsible AI, Large Language Modeling, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Data Processing, Model Optimization, Artificial Neural Networks, Machine Learning Methods, Applied Machine Learning, Model Training, Machine Learning Algorithms, Machine Learning
★ 4.9 (8) · Intermediate · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Autodesk Revit, Building Information Modeling, Autodesk, Collaborative Software, Drafting and Engineering Design, Computer-Aided Design, Engineering Documentation, Engineering Drawings, Building Design, Architectural Design, 3D Modeling, Civil Engineering, Structural Engineering, Technical Standard, HVAC, Electrical Systems, Plumbing, User Interface (UI)
★ 4.5 (121) · Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision
Intermediate · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Virtual Machines, Web Servers, Servers, Google Cloud Platform, Virtualization and Virtual Machines, Cloud Deployment, Application Deployment, Cloud Infrastructure, Cloud Hosting, Virtualization, Infrastructure As A Service (IaaS), Cloud Services, Virtual Networking, Command-Line Interface, Cloud Computing, Operating Systems
★ 4.6 (30) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Advanced · Specialization · 1 - 3 Months

AI CERTs
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, OpenAI, Large Language Modeling, Application Development
★ 4.7 (2.3K) · Beginner · Project · Less Than 2 Hours

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months
Dassault Systèmes
Skills you'll gain: 3D Modeling, Mechanical Engineering
★ 4.7 (211) · Beginner · Specialization · 3 - 6 Months