Master Vertex AI to build, deploy, and scale ML and Generative AI solutions on Google Cloud using MLOps, pipelines, and foundation models.
Level
Advanced
Duration
8 weeks
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The GCP Vertex AI Cloud Engineer (Generative AI & Machine Learning) course is designed for professionals who want to architect, build, deploy, and manage end-to-end machine learning and generative AI solutions on Google Cloud. This program delivers in-depth coverage of Vertex AI fundamentals, data preparation, feature engineering, model training, hyperparameter tuning, and scalable deployment strategies. Learners gain hands-on expertise with AutoML, custom training using TensorFlow and PyTorch, model evaluation, monitoring, and full MLOps lifecycle automation using Vertex AI Pipelines. The course also emphasizes modern Generative AI capabilities, including large language models, embeddings, prompt engineering, and responsible AI practices. Real-world use cases, enterprise-grade architectures, and performance optimization techniques are deeply integrated to ensure job-ready skills. By the end of the course on Jast Tech, learners will confidently design secure, cost-efficient, and production-ready AI systems aligned with industry best practices and cloud engineering standards.
- Solutions Architect
- Technical Consultant
- Implementation Specialist
- System Administrator
- IT Professional
GCP Vertex AI Cloud Engineer (Generative AI & Machine Learning) Curriculum
Google Cloud & Vertex AI Foundations
This module establishes cloud fundamentals and introduces Vertex AI as Google’s unified ML platform.
Data Preparation & Feature Engineering
Focuses on building reliable, scalable data pipelines for ML readiness.
Vertex AI Datasets & Feature Store
Covers centralized feature management for consistency across models.
AutoML on Vertex AI
Demonstrates rapid model development with minimal code.
Custom Model Training
Explains advanced model training using custom containers.
Related Courses
Training Roadmap
Seven intentional milestones — from first session to dream job.
Onboarding
- Meet your industry mentor
- Define your goals
- Skill gap assessment
Core Learning
- Live interactive classes
- AI-curated content
- Recorded sessions
Hands-on Practice
- Weekly assignments
- MCQ evaluations
- Module quizzes
Real Projects
- 3 live industry projects
- Portfolio building
- Case studies
Mentorship
- 1:1 doubt sessions
- Peer collaboration
- Expert feedback
Certification
- Exam preparation
- Practice dumps
- Industry-recognised certificate
Career Launch
- Resume crafting
- Mock interviews
- Job placement support
Key Projects
Available Course Schedules
Select a schedule that works best for you
Starts
10 Oct 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
12 Oct 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
17 Oct 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
19 Oct 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Need a custom schedule?
Our team will craft the perfect batch for you.
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Interview Prep
Mock interviews & tips
Live Projects
Real-world experience

Tejas Kumar
Guidewire Developer • Cognizant
"The practical hands-on scenarios and real-world project assignments made all the difference. I was able to clear the technical interviews on my first attempt."

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PolicyCenter Specialist • Deloitte
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ClaimCenter Consultant • PwC India
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Why JastTech is the Best Training Institute?
See how we stand out from the competition
Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
Outdated or incomplete curriculum that may not cover current industry needs.
Extensive practical sessions, live demos, and hands-on exercises to ensure real learning.
Limited practical exposure with theory-heavy teaching approach.
Learn from certified professionals with years of industry experience and teaching expertise.
Instructors with limited industry experience or practical knowledge.
Work on real-world projects that enhance problem-solving skills and build a strong portfolio.
Lack of real-world projects or unrealistic practice examples.
Regular assignments, quizzes, and assessments to track progress and strengthen concepts.
Irregular assessments or no proper evaluation of learning.
Resume building, interview preparation, and placement assistance to boost your career.
Limited or no career support and placement assistance.
24/7 doubt resolution and personalized guidance from instructors whenever you need it.
Slow doubt resolution or limited support availability.
Industry-recognized certificate that validates your skills and enhances your career opportunities.
Certificates with little industry value or recognition.
Lifetime access to course content, recordings, and resources even after completing the course.
Limited access duration with extra charges for resources.
High-quality training at affordable prices with no hidden costs and flexible payment options.
High course fees with hidden charges and no flexibility.
Certification Details
GCP Vertex AI Cloud Engineer (Generative AI & Machine Learning) – Associate
- Exam Name
GCP Vertex AI Cloud Engineer (Generative AI & Machine Learning) – Associate
- Duration
130 minutes
- Format
Multiple Choice & Multi-Response
- Passing Score
720 (Scale: 100–1000)
- Level
Associate

Prepare
Top Interview Questions
Curated questions with expert answers to help you ace your next interview.
Q1: What is Vertex AI and why is it important?
Vertex AI is Google Cloud’s unified ML platform that simplifies the entire ML lifecycle from data preparation to deployment and monitoring.
Q2: How does Vertex AI support MLOps?
It provides pipelines, metadata tracking, CI/CD integration, model versioning, and monitoring for production ML systems.
Q3: Difference between AutoML and custom training in Vertex AI?
AutoML requires minimal code and automates model selection, while custom training offers full control over frameworks and architectures.
Q4: How are Generative AI models deployed on Vertex AI?
Using managed endpoints, Model Garden APIs, or custom containers with scalable infrastructure.
Q5: What is responsible AI in Vertex AI?
It includes bias detection, explainability, monitoring, governance, and compliance to ensure ethical AI usage.
Support
Frequently Asked FAQs
Can't find what you're looking for? Reach out to our support team anytime.
Q1: Who should take this course?
Cloud engineers, ML engineers, data scientists, and architects aiming to work with Vertex AI and Generative AI.
Q2: Are coding skills mandatory?
Basic Python is recommended; advanced coding is taught progressively during the course.
Q3: Does this course cover Generative AI in depth?
Yes, including LLMs, embeddings, prompt engineering, and enterprise use cases.
Q4: Is this aligned with Google Cloud best practices?
Absolutely, it follows production-grade architectures and MLOps standards.
Q5: Will I work on real-world projects?
Yes, the course includes industry-aligned, hands-on projects.
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Hyderabad
JastTech
Training & Development Center
91 Springboard Business Hub ,Madhapur LVS Arcade, 71, Jubilee Enclave, HITEC City, Hyderabad,India Telangana 500081
Pune
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
Noida
JastTech
Training & Development Center
B 8, B Block, Sector 2, Noida, Metro Station Rd, near sector 15 Metro, Uttar Pradesh 201301
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