GCP for AI Services

Harnessing Cloud Power for Advanced AI Solutions

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Mentor Based

LEVEL
Advanced

DURATION
4 Weeks

About

This program 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.

Aim

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

Introduction to GCP:
- Fundamentals of Google Cloud Platform, setting up a GCP account, and understanding its core components and pricing.
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.
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.
Implementing AI Projects on GCP:
- Steps for designing AI projects, data collection, training AI models, deploying them efficiently, and monitoring and optimizing their performance.
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 ~~7,998~~ USD ~~118~~

Discounted Fee: INR 3,999 USD 59

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Key Takeaways

Program Assessment

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

Exam	Weightage
Mid Term Assignments	50 %
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.