Google Cloud Platform (GCP) for AI Services and Computing Power
Harnessing Cloud Power for Advanced AI Solutions
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Advanced
Advanced
DURATION
8 Weeks
8 Weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
To provide learners with comprehensive insights into utilizing Google Cloud Platform for deploying powerful AI and machine learning solutions effectively and efficiently.
About Program
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.
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 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
Certificate
Program Assessment
- Hands-on projects designing, implementing, and managing AI systems on GCP.
- Quizzes and interactive assessments to test knowledge and application skills.
- Capstone project focusing on real-world application of GCP for AI solutions.
Program Deliverables
- Comprehensive video tutorials and interactive live sessions.
- Real-world case studies and hands-on projects.
- Continuous feedback through assessments and live discussions.
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
