Google Cloud Platform (GCP) for AI Services and Computing Power

Harnessing Cloud Power for Advanced AI Solutions

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Online/ e-LMS
Mentor Based
8 Weeks


This course offers a deep dive into using Google Cloud Platform to leverage cloud computing for artificial intelligence, covering from basic setup to advanced machine learning implementations and secure cloud operations.


To provide learners with comprehensive insights into utilizing Google Cloud Platform for deploying powerful AI and machine learning solutions effectively and efficiently.

Program Objectives

  • Understand the infrastructure and capabilities of GCP.
  • Apply AI and ML services effectively within the Google Cloud environment.
  • Develop, deploy, and manage AI solutions using GCP’s powerful computing resources.

Program Structure

  1. Introduction to GCP:
    • Fundamentals of Google Cloud Platform, setting up a GCP account, and understanding its core components and pricing.
  2. AI and Machine Learning on GCP:
    • Exploration of GCP’s AI and ML services, setting up AI environments, managing and deploying ML models, and utilizing GCP data solutions for machine learning.
  3. Computing Power in GCP:
    • Managing computing resources, using Compute Engine, Kubernetes Engine for scalable deployments, and other computing solutions like App Engine and Cloud Functions.
  4. Implementing AI Projects on GCP:
    • Steps for designing AI projects, data collection, training AI models, deploying them efficiently, and monitoring and optimizing their performance.
  5. Security and Compliance in GCP:
    • Ensuring security within GCP, using built-in security tools, understanding compliance standards, and implementing data privacy measures.

Participant’s Eligibility

  • Students and professionals in IT, Computer Science, and related fields who are interested in cloud computing and artificial intelligence.
  • Individuals seeking to enhance their technical skillset with cloud-based AI solutions.

Program Outcomes

  • Proficiency in using Google Cloud Platform for AI and ML projects.
  • Ability to design, implement, and manage AI solutions on GCP.
  • Skills to optimize and secure AI applications in a cloud environment.

Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650





Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Direct links to industry experts and guest lectures from professionals.
  • Guidance on leveraging GCP skills for career advancements in AI and cloud computing roles.

Future Career Prospects

  • Cloud Solutions Architect
  • AI/ML Engineer
  • GCP Cloud Consultant

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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