| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 4 weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹5499 / $82 |
| Tools | SageMaker Comprehend Rekognition Deep Learning AMIs TensorFlow PyTorch |
About the AWS for AI Services 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.
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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
Certification
