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
Google Cloud
Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Prompt Engineering, Document Management
Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Customer Relationship Management
Status: NewSkills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine
Status: PreviewGoogle Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Semantic Web, Generative AI, Artificial Intelligence, Natural Language Processing, Google Cloud Platform, Algorithms
Status: NewStatus: Free TrialSkills you'll gain: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
Google Cloud
Skills you'll gain: Gemini, Google Cloud Platform, Application Development, AI Enablement, Software Development Tools, Code Review, Natural Language Processing
Status: PreviewGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Tensorflow, Model Deployment, Generative Model Architectures, Natural Language Processing
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Data Modeling, Machine Learning
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Google Gemini, Generative AI, Large Language Modeling, Multimodal Prompts, Google Cloud Platform, Model Deployment
Google Cloud
Skills you'll gain: Gemini, Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Networking, General Networking, Network Architecture
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Tensorflow, Classification Algorithms, Model Evaluation
Status: NewGoogle Cloud
Skills you'll gain: Google Gemini, Google Workspace, Generative AI Agents, Prompt Engineering, File Management
In summary, here are 10 of our most popular generative ai courses
- Gemini in Google Docs 繁體中文: Google Cloud
- Work with Gemini Models in BigQuery - Español: Google Cloud
- Data Science Model Deployments and Cloud Computing on GCP: Packt
- Vector Search 和嵌入: Google Cloud
- Practical Machine Learning without Coding: LearnQuest
- Gemini for Application Developers - Français: Google Cloud
- Encoder-Decoder Architecture - 한국어: Google Cloud
- Feature Engineering - 한국어: Google Cloud
- Auf generativer KI basierende Anwendungen in Google Cloud entwickeln: Google Cloud
- Gemini for Network Engineers - Bahasa Indonesia: Google Cloud
