Program

Amazon Web Services for AI Services and Computing Power

Harnessing the Cloud for Next-Generation Artificial Intelligence

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MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
8 weeks

About

This course provides an in-depth exploration of AWS’s powerful cloud computing services tailored for artificial intelligence, including machine learning, deep learning, data management, and processing services.

Aim

To enable learners to utilize AWS’s robust cloud capabilities for developing, training, and deploying AI models effectively and efficiently.

Program Objectives

  • Master AWS tools and services for AI and machine learning.
  • Develop, deploy, and manage AI solutions efficiently on the cloud.
  • Optimize AI applications for scalability and cost.

Program Structure

  1. Introduction to AWS and AI Services:
    • Basics of AWS’s architecture and its comprehensive AI services.
  2. AWS Machine Learning Services:
    • Detailed insights into using SageMaker, Comprehend, and Rekognition for practical AI applications.
  3. AWS for Deep Learning:
    • Utilization of AWS Deep Learning AMIs and containers, TensorFlow, and PyTorch integration.
  4. Data Management and Processing in AWS:
    • Building AWS data lakes, using AWS Kinesis for real-time data streaming and analytics.
  5. Scalability and Cost Management:
    • Strategies for managing scalability and optimizing costs in AWS.
  6. Security and Compliance:
    • Ensuring robust security measures and understanding AWS’s compliance frameworks.
  7. Project and Capstone:
    • Comprehensive project from design to implementation using AWS to solve real-world AI challenges.

Participant’s Eligibility

  • Tech professionals and students with a foundation in IT, Computer Science looking to specialize in AI using cloud platforms.
  • Individuals from BFSI, IT services, consulting looking to enhance their tech capabilities in cloud AI.

Program Outcomes

  • Proficiency in utilizing AWS for deploying AI systems.
  • Ability to manage large-scale AI projects using cloud resources.
  • Enhanced skills in AI project deployment and management using AWS.


Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650

Batches

Spring
Summer

Autumn
Winter

Certificate

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

  • Industry Insights: Exposure to real-world applications and expert sessions.
  • Career Advancement: Guidance on leveraging AWS skills for career opportunities in AI.

Future Career Prospects

  • Cloud AI Specialist
  • Machine Learning Engineer
  • AWS Solutions Architect

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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