Generative AI Courses
Generative AI courses can help you learn how models create text, images, and other outputs using patterns learned from data. You can build skills in prompt design, model evaluation, and understanding how generative systems behave across tasks. Many courses introduce tools such as Python libraries, APIs, or model interfaces that support experimenting with generation and applying core concepts.
Popular Generative AI Courses and Certifications
Status: PreviewSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security
Skills you'll gain: Responsible AI, Artificial Intelligence, AI Security, Model Evaluation, Data Modeling, Machine Learning
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Processing, Cloud Storage, Data Storage, DevOps, Data Modeling, Data Management, Data Security
Status: PreviewGoogle Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Generative AI, Multimodal Prompts, Application Lifecycle Management, Prototyping, Application Development, Model Deployment, Google Cloud Platform
Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
Status: PreviewNortheastern University
Skills you'll gain: Responsible AI, Law, Regulation, and Compliance, Oral Expression, Data Ethics, Artificial Intelligence, Research, Regulation and Legal Compliance, Scientific Methods, General Data Protection Regulation (GDPR), Ethical Standards And Conduct, Computational Logic, Governance
Status: NewStatus: Free TrialSkills you'll gain: Content Creation, Layout Design, Image Quality
Status: PreviewSkills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Model Deployment, Applied Machine Learning, Machine Learning, Natural Language Processing
Status: FreeSkills you'll gain: Lead Generation, Marketing Automation, HubSpot CRM, Prompt Engineering, Email Automation, ChatGPT, Dashboard, MarTech, Marketing Strategies, Marketing Analytics, Customer Relationship Management (CRM) Software, Customer Engagement
Status: PreviewGoogle Cloud
Skills you'll gain: Google Gemini, Prompt Engineering, Generative AI, Multimodal Prompts, Google Cloud Platform, AI Workflows, Model Deployment, Prototyping, Application Development
Status: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Development Environment, Multimodal Prompts, Embeddings, User Interface (UI), Generative AI, LLM Application, AI Personalization, Image Analysis, Vector Databases
Status: FreeSkills you'll gain: Search Engine Optimization, Blogs, Keyword Research, Web Analytics and SEO, Web Content, Content Development and Management, Content Creation, Content Strategy, AI Enablement, Editing, Generative AI, Writing
In summary, here are 10 of our most popular generative ai courses
- Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
- MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
- Introduction to Vertex AI Studio - 繁體中文: Google Cloud
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Ethics and AI: A Philosophical Guide to Responsible Use: Northeastern University
- Canva Design Essentials Pt. 3: Docs, Video & AI Tools: Skillshare
- Introduction to AI and Machine Learning on GC - Español: Google Cloud
- Marketing Automation with AI and HubSpot: Plan to Execution: Coursera
- Introduction to Vertex AI Studio - 日本語版: Google Cloud
