• Configuring the CI/CD Pipeline for Machine Learning Projects
• Ability to track the source code & training images, configuration files with Git Based Repository – AWS CodeCommit
• Ability to Perform the Build using AWS CodeBuild
• Ability to Deploy the Application on Server using AWS CodeDeploy
• Orchestrate the MLOps steps using AWS CodePipeline
• Identify appropriate AWS services to implement ML solutions
• Perform the Load testing
• Monitoring the End Point Performance
• Monitoring the Model Drift
• The ability to follow model-training best practices
• The ability to follow deployment best practices
• The ability to follow operational best practices

Welcome to “Practical MLOps for Data Scientists & DevOps Engineers with AWS”

Are you ready to propel your career in artificial intelligence and machine learning (AI/ML) development or data science to new heights? This comprehensive course is meticulously crafted for individuals with aspirations to excel in these domains, providing a Production Level mindset that goes beyond the basics.

Course Overview: Mastering MLOps with AWS

**1. Elevate Your Skills:

• Design, build, deploy, optimize, train, tune, and maintain ML solutions using AWS Cloud.

• Adopt a Production Level mindset tailored for Machine Learning in conjunction with DevOps best practices.

**2. Beyond Basics:

• Employ model-training best practices on extensive cloud-based datasets.

• Demonstrate expertise in deployment best practices for consistent functionality.

• Implement operational best practices to guarantee zero downtime.

**3. Structured Learning Path:

• Follow a logical, structured path with in-depth explanations, practical exercises, and relevant demonstrations.

• Gain proficiency in tackling real-world business challenges by implementing scalable solutions on AWS.

Course Structure: Journey Through Mastery

Section 1: Introduction to the AWSMLOPS Course and Instructor

• Get acquainted with the course objectives and the experienced instructor leading the way.

Section 2: Understanding MLOps

• Delve into the core concepts of MLOps, understanding its significance and application.

Section 3: DevOps Principles for Data Scientists

• Explore the principles of DevOps tailored for data scientists, bridging the gap between development and operations.

Section 4: Getting Started with AWS

• Acquaint yourself with the AWS platform, laying the foundation for subsequent sections.

Sections 5-16: In-Depth Exploration

• A comprehensive exploration of key topics, including AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline, Docker Containers, Amazon SageMaker, Feature Engineering, SageMaker Pipelines, and much more.

Hands-On Learning: Real-World Applications

Tools and Technologies Covered:

• Data Ingestion and Collection

• Data Processing and ETL (Extract, Transform, Load)

• Data Analysis and Visualization

• Model Training and Deployment/Inference

• Operational Aspects of Machine Learning

• AWS Machine Learning Application Services

• Notebooks and Integrated Development Environments (IDEs)

• Version Control with AWS CodeCommit

• Amazon Athena, AWS Batch, Amazon EC2

• Amazon Elastic Container Registry (Amazon ECR), AWS Glue

• Amazon CloudWatch, AWS Lambda

• Amazon S3 for Storage and Scalability

Access to Course Materials:

• All course materials, including source code, are available on GitHub for convenient access from anywhere.

• Stay updated with the latest advancements through easy access to the latest updates.

Embark on the MLOps Journey: Elevate Your Skills Today

Why Choose This Course?

• Gain a Production Level mindset tailored for AI/ML in conjunction with DevOps practices.

• Acquire proficiency in deploying solutions on scalable datasets beyond personal laptops.

• Comprehensive exploration of AWS services crucial for MLOps.

• Real-world applications and hands-on projects for practical learning.

Your Success in MLOps Begins Here:

• Equip yourself with the latest tools and best practices on the AWS platform.

• Tackle complex business challenges with confidence.

• Propel your career to new heights in the world of MLOps.

Enroll Now: Take the leap into mastering MLOps with AWS. Click the “Enroll Now” button to embark on a transformative learning journey. Elevate your AI/ML and DevOps skills to the next level and solve complex business challenges effectively. Your success in the world of MLOps begins here and now!

Who this course is for:

• Anyone preparing for Data Science , Machine Learning & Deep Learning Interviews
• Anyone interested in learning how Machine Learning is implemented on Large scale data
• Anyone interested in AWS cloud-based machine learning and data science
• Anyone looking to learn the best practices to deploy the Machine Learning Models on Cloud
• Anyone looking to learn the best practices to Operationalize the Machine Learning Models