AWS Certified Machine Learning – Specialty
AWS Certified Machine Learning – Specialty, available at $44.99, has an average rating of 4.5, with 31 lectures, based on 24 reviews, and has 140 subscribers.
You will learn about Learn and Understand AWS Machine Learning Implement streaming and advanced projects Solve classic regression and classification problems Learn how to use the Amazon Machine Learning service from scratch for predictive analytics Gain hands-on experience of key Data Science concepts Leverage the Amazon Web Service ecosystem to access extended data sources Run projects programmatically via the command line and the python SDK Select and justify the appropriate ML approach for a given business problem Identify appropriate AWS services to implement ML solutions Design and implement scalable, cost-optimized, reliable, and secure ML solutions This course is ideal for individuals who are Web Developers or Software Developers or Programmers or Anyone interested in Amazon Machine Learning It is particularly useful for Web Developers or Software Developers or Programmers or Anyone interested in Amazon Machine Learning.
Enroll now: AWS Certified Machine Learning – Specialty
Summary
Title: AWS Certified Machine Learning – Specialty
Price: $44.99
Average Rating: 4.5
Number of Lectures: 31
Number of Published Lectures: 31
Number of Curriculum Items: 31
Number of Published Curriculum Objects: 31
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn and Understand AWS Machine Learning
- Implement streaming and advanced projects
- Solve classic regression and classification problems
- Learn how to use the Amazon Machine Learning service from scratch for predictive analytics
- Gain hands-on experience of key Data Science concepts
- Leverage the Amazon Web Service ecosystem to access extended data sources
- Run projects programmatically via the command line and the python SDK
- Select and justify the appropriate ML approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
Who Should Attend
- Web Developers
- Software Developers
- Programmers
- Anyone interested in Amazon Machine Learning
Target Audiences
- Web Developers
- Software Developers
- Programmers
- Anyone interested in Amazon Machine Learning
Introducing the “AWS Certified Machine Learning – Specialty” course: Unleash the Power of Machine Learning with AWS!
Embark on an enthralling journey to master the dynamic world of machine learning through the lens of AWS. Machine learning, the new black of technology, has revolutionized the way we analyze, predict, and visualize data. As a data scientist, you face unique challenges in handling massive volumes of structured and unstructured data while navigating the intricate landscape of machine learning algorithms. This course simplifies the process, empowering you to conquer predictive analytics projects with ease in three comprehensive steps: data preparation, model tuning, and model selection.
Dive deep into the heart of Amazon Machine Learning, unraveling core data science concepts like classification, regression, regularization, overfitting, model selection, and evaluation. Harness the power of the Amazon Web Service (AWS) ecosystem, expanding your access to data sources, implementing real-time predictions, and executing Amazon Machine Learning projects via command line and Python SDK.
Unlock the secrets of training large language models (LLMs) such as GPT on Amazon Web Services (AWS), equipping yourself with cutting-edge skills to stay ahead of the curve.
Upon completing this course, you will emerge as a true maestro of Amazon machine learning, possessing the expertise to craft complex machine learning projects using AWS. Elevate your data science prowess and transform the way you approach machine learning – enroll now to redefine your potential!
Don’t miss the opportunity to learn from seasoned industry professionals as you embark on this transformative journey. Our expert instructors will guide you through practical, hands-on exercises and real-world case studies, ensuring you acquire the confidence and skills necessary to excel in your career.
Key Course Highlights:
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Comprehensive understanding of AWS machine learning services and their applications.
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Techniques to preprocess, analyze, and visualize data for effective machine learning.
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In-depth exploration of core data science concepts and their implementation with AWS.
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Hands-on experience with Amazon SageMaker to build, train, and deploy custom ML models.
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Expert guidance on best practices for model tuning and selection.
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Integration of AWS machine learning with other AWS services for seamless, scalable solutions.
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Advanced insights into training large language models like GPT on AWS.
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Networking opportunities with fellow students and industry professionals.
By the end of this immersive learning experience, you’ll have gained not only the knowledge but also the confidence to tackle real-world machine learning challenges with ease. With your newfound mastery of Amazon Machine Learning, you’ll be well-prepared to take on exciting new opportunities and drive innovation in your professional domain.
So, why wait? Elevate your career and join the ranks of successful AWS Certified Machine Learning Specialists. Enroll today and embark on a thrilling adventure that will transform your understanding of machine learning and reshape the trajectory of your career!
Course Curriculum
Chapter 1: Welcome
Lecture 1: Introduction
Lecture 2: Why Pursuing the AWS Certified Machine Learning – Specialty Certification
Chapter 2: Getting started with this course
Lecture 1: Introduction
Lecture 2: Getting started – AML Supports and S3 Interface
Lecture 3: Getting started – Model Building and Evaluation
Lecture 4: Getting started – Learn and Understand Machine Learning Data
Lecture 5: Getting started – Learn and Understand Machine Learning Console – 1
Lecture 6: Getting started – Learn and Understand Machine Learning Console – 2
Lecture 7: Getting started – Learn and Understand AWS IAM
Lecture 8: Getting started – Learn About Machine Learning Data Sources
Lecture 9: Getting started – Learn How to Load Your Data
Lecture 10: Getting started – Learn and Understand Data Nuts & Bolts – 1
Lecture 11: Getting started – Learn and Understand Data Nuts & Bolts – 2
Lecture 12: Getting started – Learn About Data Considerations
Chapter 3: Learn How to Build Machine Learning Models & Use these Models
Lecture 1: Introduction
Lecture 2: Machine Learning Models – Learn About Recipes
Lecture 3: Machine Learning Models – Learn About Evaluations
Lecture 4: Machine Learning Models – Learn About Real-Time & Batch
Lecture 5: Machine Learning Models – Learn About Batch Predictions
Lecture 6: Machine Learning Models – Learn About Real-Time Predictions
Chapter 4: Learn How to Manage Machine Learning Models With the APIs
Lecture 1: Introduction
Lecture 2: Learn How to Manage Via API
Lecture 3: Learn How to Create Machine Learning Models
Lecture 4: Learn How to Update Machine Learning Models using AWS Console
Chapter 5: Learn About AWS Limits & Use Cases
Lecture 1: Introduction
Lecture 2: Limits of AWS Machine Learning
Lecture 3: Section Summary
Chapter 6: Training large language models (LLMs) like GPT on Amazon Web Services (AWS)
Lecture 1: Training large language models (LLMs) like GPT on Amazon Web Services (AWS)
Chapter 7: Course Summary
Lecture 1: Summary
Chapter 8: Course Material & Source Code
Lecture 1: Course Material & Source Code
Lecture 2: Thank You
Instructors
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Awser Tribe
Learn AWS machine learning from the world's best experts
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 6 votes
- 5 stars: 13 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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