Master Vertex AI to build, deploy, and scale ML and Generative AI solutions on Google Cloud using MLOps, pipelines, and foundation models.
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
















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.
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.
Job Roles You Can Achieve
After completing this course
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.
Seven intentional milestones — from first session to dream job.
Select a schedule that works best for you
Starts
04 Jul 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
06 Jul 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
11 Jul 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
13 Jul 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



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.
GCP Vertex AI Cloud Engineer (Generative AI & Machine Learning) – Associate
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
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
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.
The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.
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One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.
I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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