Google Cloud Gen AI (Vertex AI & Gemini) Course in Hyderabad
Build generative AI apps and agents with Gemini and Vertex AI on Google Cloud
The Google Cloud Gen AI course teaches you to build generative AI applications with Gemini models and Vertex AI on Google Cloud. You start with how large language models work and how to design prompts, then call Gemini through the Gemini API and the Google Gen AI SDK, work with multimodal inputs, structured output and function calling, and ground responses with Google Search and your own data using Vertex AI Search and RAG. You learn embeddings and Vertex AI Vector Search, build agents with the Agent Development Kit, evaluate quality and safety, add safety filters, and deploy applications on Cloud Run with monitoring and cost control. Google announced in April 2026 that Vertex AI is evolving into the Gemini Enterprise Agent Platform, with existing Vertex AI services continuing under it, so the course teaches the underlying concepts and uses current console names. It suits developers, data professionals and cloud engineers with basic Python. Classes run in Ameerpet, Hyderabad, and in live online batches, and finish with a capstone assistant.
Syllabus
Generative AI Foundations
- •How large language models work: tokens, context windows and sampling
- •The Gemini model family and choosing a model for cost and latency
- •Limits: hallucination, bias and privacy
- •Lab: Compare model responses in Google AI Studio and Vertex AI Studio
- •Outcome: Explain generative AI capabilities and limits
Google Cloud Setup for AI
- •Enabling Vertex AI APIs and IAM roles for AI work
- •Application Default Credentials and service accounts
- •Python environment and the Google Gen AI SDK
- •Lab: Set up a project and call Gemini from Python
- •Outcome: A working, least-privilege AI development environment
Prompt Design & Gemini API
- •Prompt patterns: roles, few-shot examples and constraints
- •Temperature, top-p, safety settings and token limits
- •Structured output with JSON schemas
- •Lab: Build a document-extraction prompt with JSON output
- •Outcome: Write reliable prompts for production tasks
Multimodal Gemini
- •Sending images, PDFs, audio and video to Gemini
- •Long-context patterns and caching
- •Use cases: document understanding and visual question answering
- •Lab: Summarise a PDF and answer questions about an image
- •Outcome: Build multimodal features
Function Calling & Tools
- •Function calling flow and parallel tool calls
- •Built-in tools such as code execution and grounding
- •Connecting model output to business APIs safely
- •Lab: Build an assistant that calls a weather or order API
- •Outcome: Let models take actions through controlled tools
Grounding & Retrieval-Augmented Generation
- •Grounding with Google Search and with enterprise data
- •Vertex AI Search and the RAG Engine concepts
- •Chunking, retrieval quality and citations
- •Lab: Build a grounded question-answering app over documents
- •Outcome: Give answers that cite trusted sources
Embeddings & Vector Search
- •Embeddings and semantic similarity
- •Vertex AI Vector Search and options such as BigQuery vector search and AlloyDB
- •Hybrid search and filtering
- •Lab: Build a semantic search over a product catalogue
- •Outcome: Add vector search to applications
Agents with the Agent Development Kit
- •Agent concepts: instructions, tools, memory and sessions
- •Building single and multi-agent systems with the Agent Development Kit
- •Deploying agents to a managed runtime such as Vertex AI Agent Engine
- •Lab: Build an agent that researches and drafts a summary
- •Outcome: Create agents that complete multi-step tasks
Model Customisation & Evaluation
- •Prompting versus RAG versus tuning: choosing an approach
- •Supervised tuning overview and data preparation
- •Gen AI evaluation: metrics, rubric-based and model-based evaluation
- •Lab: Build an evaluation set and compare two prompts
- •Outcome: Make model and prompt decisions with evidence
Safety, Security & Responsible AI
- •Safety attributes, filters and blocked responses
- •Prompt injection, data leakage and least-privilege tools
- •Data residency, VPC Service Controls and audit logging overview
- •Lab: Red-team a chatbot and add mitigations
- •Outcome: Reduce risk before release
Deployment, Monitoring & Cost
- •Deploying a Python API to Cloud Run; secrets with Secret Manager
- •Logging, tracing and monitoring of model calls
- •Quotas, token costs, caching and model routing
- •Lab: Deploy the assistant and create a cost dashboard
- •Outcome: Operate generative AI services within budget
Capstone & Portfolio
- •Capstone: grounded multimodal assistant with tool use and evaluation
- •Architecture write-up and GitHub portfolio
- •Interview practice for generative AI roles
- •Outcome: A deployed, documented generative AI application
Tools Covered
Projects Included
- Document Extractor: Use Gemini multimodal input to extract structured data from invoices; deliverable is a JSON API with an accuracy check.
- Grounded Knowledge Assistant: Build a RAG assistant with Vertex AI Search over policy documents and citations; deliverable is a web demo and test sheet.
- Semantic Product Search: Create embeddings and a vector index for a catalogue; deliverable is a search endpoint with relevance examples.
- Task Agent with Tools: Build an ADK agent that calls two APIs and asks for approval before actions; deliverable is a tested agent and trace logs.
- Capstone Gen AI Service: Deploy a grounded assistant on Cloud Run with evaluation and monitoring; deliverable is a GitHub repository and architecture diagram.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Google Cloud Gen AI (Vertex AI & Gemini) course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Google Cloud Gen AI (Vertex AI & Gemini).
Certificate of Completion
Google Cloud Gen AI (Vertex AI & Gemini)
This certifies that
[Your Name]
has successfully completed the
Google Cloud Gen AI (Vertex AI & Gemini)
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Google Cloud Gen AI (Vertex AI & Gemini) course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Google Cloud Gen AI (Vertex AI & Gemini) Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Generative AI Developer, AI Engineer, Cloud AI Engineer, Solutions Engineer; support is guidance with the job search, not a guarantee of a job.