Online/ e-LMS
Mentor Based
Advanced
8 Weeks
About
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.
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 31,998 USD 858
Discounted Fee: INR 15999 USD 429
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!
List of CurrenciesBatches
Live
Certificate
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.
Future Career Prospects
- Cloud Solutions Architect
- AI/ML Engineer
- GCP Cloud Consultant
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
