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Level : Beginner ( 15 )
Google Data Analytics Professional Certificate
Introduction to Generative AI
Introduction to Large Language Models
Introduction to Responsible AI
Prompt Design in Vertex AI
Responsible AI: Applying AI Principles with Google Cloud
Gemini for Application Developers
Gemini for Cloud Architects
Gemini for Data Scientists and Analysts
Gemini for Network Engineers
Gemini for Security Engineers
Gemini for DevOps Engineers
Gemini for end-to-end SDLC
Introduction to Vertex AI Studio
Introduction to Data Analytics in Google Cloud
Level : Intermediate ( 11 )
Develop GenAI Apps with Gemini and Streamlit
Introduction to Image Generation
Attention Mechanism
Encoder-Decoder Architecture
Transformer Models and BERT Model
Create Image Captioning Models
Vector Search and Embeddings
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Responsible AI for Developers: Fairness & Bias
Responsible AI for Developers: Interpretability & Transparency
Machine Learning Operations (MLOps) for Generative AI
Level : Advanced ( 3 )
Google Advanced Data Analytics Professional Certificate
Preparing for your Professional Data Engineer Journey
Get Started with Python
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