Machine Learning Andrew Ng Courses
Machine learning courses can help you learn algorithms, data preprocessing, model evaluation, and neural networks. You can build skills in regression analysis, classification techniques, and clustering methods. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, showing how these technologies are used to implement machine learning solutions in real-world applications.
Popular Machine Learning Andrew Ng Courses and Certifications
Amazon Web Services
Skills you'll gain: Amazon Web Services, Data Visualization, Grafana, Interactive Data Visualization, Hybrid Cloud Computing, Multi-Cloud, Prometheus (Software), Managed Services
Erasmus University Rotterdam
Skills you'll gain: Cultural Responsiveness, Education Software and Technology, Cultural Diversity, Multilingualism, Student Engagement, Cultural Sensitivity, Teaching, Culture, Digital pedagogy, Parent Communication, Language Learning, Instructional Strategies, Child Development, Family Support, digital literacy, Collaboration
Coursera
Skills you'll gain: AI Personalization, Customer Engagement, Data-Driven Decision-Making, Customer experience strategy (CX), Customer Service, Customer experience improvement, Customer Communications Management, Journey Mapping, Personalized Campaigns, AI Enablement, Personalized Service, Customer Insights, Customer Retention, Business Analytics, User Feedback, Analytics, Artificial Intelligence, Generative AI, Predictive Analytics, Automation
University of Houston
Skills you'll gain: Value-Based Care, Constructive Feedback, Active Listening, Portfolio Management, Team Oriented, Peer Review, Project Portfolio Management, Project Closure, Health Care, Communication
University of Colorado Boulder
Skills you'll gain: Learning Theory, Human Learning, Motivational Interviewing, Education and Training, Pedagogy, Scientific Methods, Course Development, Communication Strategies, Research, Science and Research, Research Methodologies, Communication, Active Listening, Psychology
Snowflake
Skills you'll gain: AI Orchestration, Agentic Workflows, AI Workflows, Model Context Protocol, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Integrations, Tool Calling, Context Management, Agentic systems, Prompt Engineering, Model Evaluation, SQL, Unstructured Data
University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence
Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Governance, Data Architecture, Google Cloud Platform, Data Integration, Data Management, Cloud Storage, Applied Machine Learning, Data Storage Technologies, Data Security, Cloud Computing Architecture, Advanced Analytics, Open Source Technology
Fractal Analytics
Skills you'll gain: Prompt Engineering, Generative AI, Code Review, AI Workflows, AI literacy, Debugging, Responsible AI, Software Technical Review, Machine Learning Methods, Data Preprocessing, Maintainability, Data Cleansing
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Email Marketing, Personalized Campaigns, Email Automation, Persona Development, AI Personalization, ChatGPT, Target Audience, Marketing Automation, Content Creation, AI Integrations
Skills you'll gain: Game Design, Unity Engine, Animation and Game Design, 3D Assets, Video Game Development, Animations, User Interface (UI), UI Components, Software Design, C# (Programming Language), Scripting, Data Persistence, System Implementation
Skills you'll gain: Ajax, Test Tools, Build Tools, Object Oriented Design, Gherkin (Scripting Language), Test Script Development, Web Development Tools, Software Design Patterns, Test Data, Scripting, Data Structures, Package and Software Management, File I/O, Data Access, Automation, Cascading Style Sheets (CSS)
