Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Computing Architecture, Cloud Applications, Software Architecture, Solution Architecture, Cloud Computing, Systems Design, Scalability, Cloud Infrastructure, System Design and Implementation, Distributed Computing, Web Applications, Cloud Security, Live Streaming, Cloud Storage, Functional Requirement, Amazon Web Services, Requirements Analysis, Real Time Data, Algorithms, Data Storage
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture
Beginner · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Digital pedagogy
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Continuous Deployment, Continuous Integration, Jenkins, CI/CD, Continuous Delivery, Cloud-Native Computing, Devops Tools, SonarQube, DevOps, Artifactory, Kubernetes, Infrastructure as Code (IaC), Cloud Deployment, AI Integrations, Containerization, ChatGPT, Authentications, Agile Methodology, Git (Version Control System), Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Deep Learning, Model Optimization, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Mainframe Technologies, Computer Programming, Computational Logic, Programming Principles, Job Control Language (JCL), Program Development, Memory Management
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: AI literacy, Critical Thinking, Critical Thinking and Problem Solving, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI
Beginner · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Instructional Design, Multimedia, Presentations, Design Reviews, Peer Review, Visual Design, Graphic Design, Media Production, Creative Design, Photo/Video Production and Technology, Learning Strategies, Videography, Electronic Media, Communication Strategies
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning
Intermediate · Course · 3 - 6 Months