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Andrei Ciuca
About Me
Core AI/ML Concepts: Introduction to AI and Machine Learning on Google Cloud: Foundational knowledge. Transformer Models and BERT Model: Understanding modern NLP architectures. Encoder-Decoder Architecture: A fundamental architecture for sequence-to-sequence tasks. Attention Mechanism: A key component of transformer models. Vector Search and Embeddings: Essential for semantic search and RAG. Machine Learning Operations (MLOps) for Generative AI: Managing the lifecycle of AI models. Create ML Models with BigQuery ML: Using SQL for machine learning. Generative AI Focus: Introduction to Generative AI: Basic concepts and applications. Introduction to Large Language Models (LLMs): Understanding the foundation of modern generative AI. Introduction to Image Generation: Creating images with AI. Gemini for Application Developers: Using Google's Gemini models in applications. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG: Working with multimodal data. Enterprise Search on Generative AI App Builder: Creating search applications. Prompt Design in Vertex AI: Crafting effective prompts for LLMs. Responsible AI: Introduction to Responsible AI: Ethical considerations in AI. Responsible AI: Applying AI Principles with Google Cloud: Practical application of ethical principles. Responsible AI for Developers: Fairness & Bias: Addressing bias in AI models. Responsible AI for Developers: Interpretability & Transparency: Understanding and explaining AI decisions. Responsible AI for Developers: Privacy & Safety: Protecting user data and ensuring safety. Introduction to Security in the World of AI: Securing AI systems. Google Cloud Platform (GCP) and Vertex AI: Introduction to Vertex AI Studio: Using Google Cloud's platform for AI development. Build and Deploy Machine Learning Solutions on Vertex AI: Deploying models on GCP. Working with Notebooks in Vertex AI: Using notebooks for development. Prepare Data for ML APIs on Google Cloud: Data preparation for Google Cloud APIs. Introduction to Data Analytics on Google Cloud: Analyzing data in the cloud.