Vertex AI
Build, Train, and Deploy Machine Learning and Generative AI Applications on Google Cloud Vertex AI
In this course, you will: Understand the Vertex AI platform architecture and its core ML service offerings; Train custom models using Vertex AI Training with managed compute and distributed jobs; Build automated ML pipelines with Vertex AI Pipelines and Kubeflow components.

35+
Hours
6
Modules
16
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About Vertex AI
Build, Train, and Deploy Machine Learning and Generative AI Applications on Google Cloud Vertex AI
In this course, you will: Understand the Vertex AI platform architecture and its core ML service offerings; Train custom models using Vertex AI Training with managed compute and distributed jobs; Build automated ML pipelines with Vertex AI Pipelines and Kubeflow components.
What This Training Covers
The Vertex AI programme at Tutorsbot spans 35+ hours across 6 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
Vertex AI is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
6 modules · 16 topics · 35 hrs
01Vertex AI Platform Overview
8 topics
Vertex AI Platform Overview
8 topics
- Vertex AI architecture — managed services, infrastructure, and developer tools
- Vertex AI Workbench — managed notebooks with pre-configured ML environments
- Vertex AI Datasets — managed datasets with data labelling and versioning
- Feature Store — managed feature engineering, storage, and serving
- Metadata Store — automatic ML metadata and lineage tracking
- Vertex AI Model Garden — foundational models for fine-tuning and deployment
- IAM and VPC Service Controls for Vertex AI security
- Hands-on: Setting up a Vertex AI development environment and first training job
02Model Training on Vertex AI
8 topics
Model Training on Vertex AI
8 topics
- Custom training jobs — containerised training with pre-built and custom containers
- Managed datasets integration — reading training data from Cloud Storage and BigQuery
- GPU and TPU configuration — selecting accelerators for deep learning training
- Distributed training — data and model parallelism with MirroredStrategy and FSDP
- Hyperparameter tuning — Vizier-powered automated hyperparameter search
- Training with Vertex AI Experiments — tracking metrics, parameters, and artefacts
- Spot VMs for training — cost optimisation with preemption handling
- Hands-on: Running a distributed training job with hyperparameter tuning
Vertex AI Pipelines
Topics included
3 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Vertex AI batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Vertex AI Talent from Tutorsbot
Companies hiring Vertex AI talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Vertex AI, answered by our training experts
1Who should take Vertex AI?
2Does Vertex AI include a certificate?
3Is placement support included with Vertex AI?
4How long does Vertex AI take to complete?
5What is the mode of delivery for Vertex AI?
6Can I get a free demo class for Vertex AI?
7What kind of projects will I work on in Vertex AI?
8What if I miss a class?
9Is Vertex AI worth it for experienced professionals?
10What is the refund policy for Vertex AI?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Vertex AI materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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