This Internship is designed to provide a comprehensive understanding of MLOps with AWS. Participants will learn about machine learning models, data engineering, and deployment as it relates to AWS Sagemaker. The course will also cover deep learning and image recognition, as well as AWS AI services.
provisioning with EC2, ELB, EBS and containers, GraphQL and Lambda creation followed by comprehensively scalable services in beyond single combinations including mastering ready SSR’d backend charged with REST endpoints for faster prototyping and ranged service exposure.
Learn and Practice Python | ML | DL | NLP | CNN & Computer Vision
Implement Learned skills to develop LIVE Projects with Codes and Assistance
Gain access to 30+ Records of High Value Content and Instructor Led Weekend LIVE Sessions
Become a Member of a Community of Highly Interactive Members and access to resources and Q & A Sessions
Updated access to Records for 1 / 2 Months
- Learn Anytime , Anywhere
Download Presentations and Project codes to practice while learning and implementation. Lifetime Access
✓ Gain Access to 30 Days of Record
✓ Get a Mentor Assigned
✓ Download Presentations & Practice Codes
✓ Learn at your Flexible Time
✓ Apprehend the concepts
✓ Join the Private Community of Developers
✓ Attend LIVE Q & A Sessions
✓ Interact with the Mentor
✓ Practice the concepts
✓ Implement Skills Learnt
✓ Develop Projects with assistance
✓ Download Codes for Reference
✓ Implement Real-Time Data
✓ Visualise the Concepts
✓ Get Certified
✓ E Certificate of Internship
✓ Project Completion Certificate
✓ Share on social media
✓ Get Job Notifications
✓ Exclusive Videos with detailed explanation
✓ Assignments & Projects
✓ Flexible Time
✓ New Lectures on the current trend
✓ 4 LIVE interactive Mastermind Sessions
✓ 90 Days from the date of payment
✓ 4+ Capstone Projects & Codes
✓ 1 Month Internship + Mastermind project Completion Certificate
✓ Exclusive Videos with detailed explanations
✓ Assignments & Projects
✓ Flexible Time
✓ New Lectures on the current trend
✓ 4 LIVE interactive Mastermind Sessions
✓ 180 Days from the date of payment
✓ 12+ Capstone Projects & Codes
✓ 2 Month Internship + Mastermind project Completion Certificate
MLOps with AWS is a comprehensive course that teaches participants how to develop cloud-enabled models and leverage machine learning using the Amazon Web Services platform.
The course covers several topics, including AWS essentials, machine learning concepts, deep learning, natural language processing, version control with Github, and deployment services.
Participants should have a basic understanding of machine learning concepts, and familiarity with the Python programming language is recommended.
Several real-life projects related to classification, regression, deep learning, and natural language processing are included in the course.
Version control allows data scientists to keep track of changes made to machine learning models and collaborate more effectively with team members, while Github is a web-based platform that provides a convenient interface to work with version control.
Yes, the course includes topics on deploying machine learning models with AWS Sagemaker and version control with Github.
The course covers several AWS AI services such as Amazon Rekognition, Comprehend, Polly, Lex, Transcribe, and Textract.
Upon completion of the course, participants can pursue careers in machine learning engineering, data science engineering, and cloud computing engineering.
Yes, this course is a suitable option for both beginners and professionals interested in developing cloud-enabled models and leveraging machine learning with AWS.
