Google AI Training Courses

Enterprise AI Strategy with Vertex AI• Role of Vertex AI in enterprise transformation• AI maturity models and adoption frameworks• Aligning AI initiatives with business objectivesEnterprise Architecture and Platform Design• Vertex AI components and integration...

• Enterprise AI and ML engineers
• Cloud architects and platform engineers
• Data science leaders and MLOps teams
• IT managers and digital transformation leaders
• Governance, risk, and compliance professionals

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants will receive an AcadNXT Certification in Vertex AI for Enterprise Training, validating their ability to manage and scale AI solutions across large organizations.

Prerequisites: • Understanding of machine learning and AI fundamentals• Familiarity with Google Cloud Platform concepts• Experience with data analytics or AI projects is recommended

Introduction to Multimodal LLMs on Vertex AI• Overview of multimodal large language models• Vertex AI foundation and generative models• Multimodal AI use cases in enterprisesWorking with Text and Image Models• Text generation and understanding using LLMs• Imag...

• AI engineers and machine learning practitioners
• Cloud developers and architects
• Data scientists working with generative AI
• Enterprise AI and innovation teams
• Technical leads adopting multimodal AI

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants will receive an AcadNXT Certification in Vertex AI Multimodal LLMs Training, validating their expertise in multimodal generative AI using Google Cloud.

Prerequisites: • Basic understanding of machine learning or generative AI concepts• Familiarity with Google Cloud fundamentals• Prior exposure to LLMs or Vertex AI is helpful but not mandatory

Foundations of RAG and AI Agents• RAG concepts and enterprise use cases• Agent-based architectures and workflows• Vertex AI tools for RAGKnowledge Ingestion and Vector Search• Document ingestion and preprocessing• Embeddings and vector databases• Semantic retr...

• AI engineers and ML practitioners
• Cloud developers and solution architects
• Enterprise AI and innovation teams
• Data engineers working with knowledge systems
• Technical leads building AI agents

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants will receive an AcadNXT Certification in Vertex AI RAG Agents Training, validating their expertise in building retrieval-augmented AI agents on Google Vertex AI.

Prerequisites: • Understanding of large language models and generative AI• Familiarity with Google Cloud and Vertex AI basics• Basic knowledge of APIs or application development