8 Hrs
4211+ Enrollments
The Machine Learning Pipeline on AWS
The Machine Learning Pipeline on AWS is a practical course that will teach you how to build and deploy machine learning models on AWS. This course is designed for developers and data scientists who want to learn how to use AWS services to build scalable, reliable, and cost-effective machine learning pipelines.
The Machine Learning Pipeline on AWS
Overview of Course
The Machine Learning Pipeline on AWS is a comprehensive course designed to teach you how to build, train, and deploy machine learning models on the Amazon Web Services (AWS) platform. With this course, you will gain hands-on experience in setting up and managing a machine learning pipeline on AWS using the latest tools and technologies.
Course Highlights
Hands-on experience with building and deploying machine learning models on AWS
In-depth understanding of AWS services for machine learning
Best practices for designing and building ML pipelines<br /><br />
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Building and deploying machine learning models on AWS
AWS services for machine learning
Best practices for designing and building machine learning pipelines
Real-world projects and case studies
Building and training deep learning models using AWS
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Overview of cloud computing
- Introduction to Amazon Web Services (AWS)
- AWS Global Infrastructure
- AWS Free Tier
- Elastic Compute Cloud (EC2)
- EC2 Instance Types
- Auto Scaling
- Elastic Load Balancing (ELB)
- AWS Regions and Availability Zones
- Fault Tolerance and High Availability
- Disaster Recovery
- AWS Global Accelerator
- Virtual Private Cloud (VPC)
- VPC Peering
- Network Access Control Lists (NACLs)
- AWS Direct Connect
- Simple Storage Service (S3)
- Glacier
- Elastic Block Store (EBS)
- Relational Database Service (RDS)
- Shared Responsibility Model
- Identity and Access Management (IAM)
- AWS Key Management Service (KMS)
- AWS Certificate Manager
- CloudWatch
- AWS CloudTrail
- AWS Config
- AWS X-Ray
- AWS Pricing Models
- AWS Support Plans
- AWS Trusted Advisor
- AWS Cost Explorer
- AWS Migration Hub
- Database Migration Service (DMS)
- Server Migration Service (SMS)
- AWS IoT
- AWS Well-Architected Framework
- DevOps on AWS
- Serverless Computing
- AWS Marketplace
- Exam Overview
- Cloud Concepts
- Billing and Pricing
- Security and Compliance.
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Developers
- Data scientists
- Machine learning engineers
Prerequisite:
- Basic knowledge of machine learning concepts
- Familiarity with Python programming language
Benefits of the course:
- Learn from industry experts with years of experience in machine learning on AWS
- Hands-on experience with building and deploying machine learning models on AWS
- Real-world projects and case studies to help you apply what you have learned
- Access to a community of learners and experts to help you along the way
Exam details to pass the course:
- There is no exam required to pass this course.
- However, you will need to complete all the assignments and projects to earn a certificate of completion.
Certification path:
- There are no specific certifications required to learn this course.
- However, it is recommended to have an AWS certification such as AWS Certified Solutions Architect – Associate or AWS Certified Developer – Associate to have a better understanding of AWS services.
Career options after doing the course:
- Machine learning engineer
- Data scientist
- AI specialist
- Software engineer
Why should you take this course from Skillzcafe:
Learn from industry experts with years of experience in machine learning on AWS- Hands-on experience with building and deploying machine learning models on AWS
- Real-world projects and case studies to help you apply what you have learned
- Access to a community of learners and experts to help you along the way
- Affordable pricing
FAQs
The Machine Learning Pipeline on AWS course duration is 1 day.
Yes, you should have a basic knowledge of machine learning concepts and familiarity with Python programming language.
Yes, you will receive a certificate of completion after completing all the assignments and projects in the course.
Yes, you will need an AWS account to follow along with the course.
Yes, you will have lifetime access to the course materials after completing the course.
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