Data Science & AI
Google Vertex AI Coursein Hyderabad & Online
Learn Generative AI on Google Cloud with Vertex AI (now the Gemini Enterprise Agent Platform): Gemini APIs and prompt engineering, embeddings and vector search, RAG and grounding, AI agents with the Agent Development Kit, safety, tuning, MLOps and deployment — with real-time projects and certification guidance.
Typically 6–8 weeksClassroom & OnlineAmeerpet, Hyderabad
Build Gen AI apps and agents on Google Cloud.
Vertex AIGeminiRAGAI Agents
What You'll Learn
- 01Gemini API & prompting
- 02Embeddings & vector search
- 03RAG & grounding
- 04AI agents with ADK
- 05Model tuning & evaluation
- 06MLOps & deployment
Course Modules
- 1
Generative AI & Vertex AI Foundations
- How LLMs work; multimodal AI
- Google Cloud fundamentals: IAM, Storage, BigQuery, gcloud
- Vertex AI Studio and Model Garden
- Gemini API and prompt engineering
- 2
RAG, Vector Search & AI Agents
- Embeddings and Vertex AI Vector Search
- RAG Engine, Vertex AI Search and grounding
- Agents with ADK, MCP and A2A
- Agent Runtime, sessions and Memory Bank
- 3
Safety, Tuning, MLOps & Production
- Safety filters and Model Armor
- Supervised fine-tuning and evaluation
- Workbench, AutoML, Pipelines, Model Registry
- Cloud Run deployment, monitoring and cost control
- 4
Real-Time Projects & Certification Prep
- Customer-support Gemini chatbot with RAG
- Multi-agent assistant with ADK
- Multimodal document analysis app
After this course you can
- Build Gemini-powered apps with structured output and function calling
- Create RAG chatbots grounded in company data
- Build, deploy and govern AI agents
Who this course is for
- Fresh graduates and students
- Software and Python developers
- GCP cloud and DevOps engineers
- Data scientists, ML engineers, data engineers and analysts
Training format
- Duration
- Typically 6–8 weeks
- Mode
- Classroom (Ameerpet), live online & recorded video
- Includes
- Hands-on practice, interview preparation
- Certification
- Google Cloud Generative AI Leader and Professional Machine Learning Engineer guidance
- Prerequisites
- No strict prerequisites · Basic Python helps for SDK labs · Google Cloud or SQL familiarity is a plus
Google Vertex AI Training — Questions
Yes. Vertex AI was rebranded in April 2026; existing Vertex AI APIs continue to work.
No strict background is required. Basic Python helps for the SDK labs.
Fresh graduates and students; Software and Python developers; GCP cloud and DevOps engineers; Data scientists, ML engineers, data engineers and analysts.
Yes. You can attend in our Ameerpet, Hyderabad classroom, join live online classes or learn with recorded video courses.
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