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: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative AI, Convolutional Neural Networks, Model Training, Deep Learning, Generative Model Architectures, Model Evaluation, Recurrent Neural Networks (RNNs)
Status: PreviewGoogle Cloud
Skills you'll gain: Generative AI, Image Analysis, Model Training, Deep Learning, Generative Model Architectures, Applied Machine Learning, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Performance Testing, Benchmarking, Graph Theory, Program Implementation
Status: PreviewGoogle Cloud
Skills you'll gain: Model Deployment, Model Training, Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Generative AI
Status: PreviewGoogle Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, Tensorflow, Model Deployment, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Model Training, Metadata Management, PyTorch (Machine Learning Library), Continuous Deployment
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Vector Databases, Gemini, Embeddings, Google Gemini, Large Language Modeling, Google Cloud Platform
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI, Gemini, Google Gemini, Large Language Modeling, AI Workflows, Data Pipelines, Google Cloud Platform
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Status: PreviewSkills you'll gain: Image Analysis, Model Training, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Model Deployment, Model Evaluation, Recurrent Neural Networks (RNNs)
Skills you'll gain: Retrieval-Augmented Generation, Gemini, Google Gemini, Generative AI, Vector Databases, Embeddings, AI Workflows
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML
Status: NewStatus: PreviewSkills you'll gain: AI Orchestration, AI Workflows, Software Testing, AI Integrations, Jenkins, Azure DevOps Pipelines, Test Engineering, Azure DevOps, Continuous Deployment
In summary, here are 10 of our most popular generative ai courses
- Create Image Captioning Models - 한국어: Google Cloud
- Create Image Captioning Models - Italiano: Google Cloud
- Choose Optimal Data Structures for ML: Coursera
- Encoder-Decoder Architecture - 日本語版: Google Cloud
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- Einbettungen, Vektorsuche und RAG mit BigQuery erstellen: Google Cloud
- BigQuery로 임베딩, 벡터 검색, RAG 만들기: Google Cloud
- Optimize Java Memory for ML Performance: Coursera
- Create Image Captioning Models - Bahasa Indonesia: Google Cloud
- Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud
