Home >Courses >AWS for AI Services

NSTC Logo
Home >Courses >AWS for AI Services

Mentor Based

AWS for AI Services

Harnessing the Cloud for Next-Generation Artificial Intelligence

Register NowExplore Details

Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 4 weeks

About This Course

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.

Who Should Enrol?

  • 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

Discounted: ₹10999 | $164

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
The Green NanoSynth Workshop: Sustainable Synthesis of NiO Nanoparticles and Renewable Hydrogen Production from Bioethanol

Good overrall presentations, i liked them. Would like to see a more in depth explanation of the applications, thank you !

Pascu
★★★★★
AI for Federated Learning: Decentralized Data and Privacy-Preserving Models

I need invoice with the following data:
Tera Srl
Via Martin Luther King, 35
70014 Conversano (Ba) - ITA
VAT ID: IT06597060729

Please, send it to leonardo.cici@terasrl.it

Daniel Lotano
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

/

Florian Leinberger
★★★★★
Build Intelligent AI Apps with Retrieval-Augmented Generation (RAG)

she was really good menor

منال القحطاني

View All Feedbacks →

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber