Attribute

Detail

Format

Online (e-LMS)

Level

Advanced

Duration

4 weeks

Certification

e-Certification + e-Marksheet

Tools

SageMaker, Comprehend, Rekognition, Deep Learning AMIs, TensorFlow, PyTorch

About the Aws 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.

Program Highlights

• Comprehensive coverage of AWS for AI Services from fundamentals to advanced applications

• Hands-on projects and real-world case studies in AI

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Practical experience with tools: SageMaker, Comprehend, Rekognition, Deep Learning AMIs

• Career-oriented training for academic and professional growth in AI

Course Curriculum

Module 1: Introduction to AWS and AI Services

Exploring the basics of AWS’s architecture and its comprehensive AI services.

Module 2: AWS Machine Learning Services

Gaining detailed insights into using SageMaker, Comprehend, and Rekognition for practical AI applications.

Module 3: AWS for Deep Learning

Utilizing AWS Deep Learning AMIs and containers, TensorFlow, and PyTorch integration.

Module 4: Data Management and Processing in AWS

Building AWS data lakes, using AWS Kinesis for real-time data streaming and analytics.

Module 5: Scalability and Cost Management

Developing strategies for managing scalability and optimizing costs in AWS.

Module 6: Security and Compliance

Ensuring robust security measures and understanding AWS’s compliance frameworks.

Module 7: Project and Capstone

Completing a comprehensive project from design to implementation using AWS to solve real-world AI challenges.

Tools, Techniques, or Platforms Covered

SageMaker
Comprehend
Rekognition
Deep Learning AMIs
TensorFlow
PyTorch

Real-World Applications

Apply AWS for AI Services skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical AI competencies
Solve industry-relevant problems using AWS for AI Services methodologies and tools
Contribute to open-source projects and collaborative research in AI
Prepare for competitive examinations, interviews, and professional certifications in AI

Who Should Attend & Prerequisites

Industry-recognized e-Certification + e-Marksheet from NSTC
Hands-on training with practical projects and industrial datasets
Dedicated expert mentorship and doubt resolution

Prerequisites:

Frequently Asked Questions

1. What is the format of this AWS for AI Services course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of AI concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 4 weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to AI. Our mentors are industry experts and experienced professionals.

Enroll in AWS for AI Services today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering AI skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	4 weeks
Level	Advanced
Domain	AI
Hands-On	Yes – Practical projects with industrial datasets
Tools Used	SageMaker, Comprehend, Rekognition, Deep Learning AMIs, TensorFlow, PyTorch

Achieve Excellence & Enter the Hall of Fame!

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Hall of Fame.

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