Description
The comprehensive AWS Certified Machine Learning Specialty 2024 – Hands On(V2) course prepares you to pass the AWS Certified Machine Learning – Specialty exam (MLS-C01) in 2024. This course dives deep into machine learning concepts and applications on the AWS platform, equipping you with the skills you need to excel in real-world scenarios.
You’ll advance your machine learning skills by mastering techniques, data preprocessing, and using popular AWS services like Amazon SageMaker, AWS Lambda, AWS Glue, and more. The course’s structured learning journey aligns with exam domains, ensuring you are fully prepared for certification success and practical application of machine learning principles.
Key skills and topics covered:
- Selecting and justifying machine learning approaches for business problems
- Identify and implement AWS services for machine learning solutions
- Design scalable, optimized, reliable and secure machine learning solutions
- Skill set requirements: intuition for machine learning algorithms, hyperparameter optimizations, machine learning frameworks, model training, deployment, and operational best practices
Ranges and weight:
- Data Engineering (20%): Creating data repositories, implementing data migration and data transformation solutions using AWS services such as Kinesis, EMR, and Glue
- Exploratory data analysis (24%): cleaning and preparing data, performing feature engineering, and analyzing/visualizing data for machine learning using techniques such as clustering and descriptive statistics
- Modeling (36%): Framing business issues, choosing suitable models, training models, performing hyperparameter optimization and evaluating machine learning models using different criteria.
- Machine Learning Implementation and Operations (20%): Building machine learning solutions for performance, availability, scalability, and fault tolerance using AWS services such as CloudWatch, SageMaker, and security best practices
What you will learn in this course:
- Choosing and justifying appropriate machine learning approaches to solve business problems
- Identify and implement AWS services suitable for machine learning solutions
- Design and implement scalable, optimized, reliable and secure machine learning solutions
- Understanding the intuition of basic machine learning algorithms
- Performing hyperparameter optimizations
- Mastery of machine learning and deep learning frameworks
- Learn best practices for model training
- Learning best practices for model deployment
- Learn best practices for machine learning solutions
Who is this course for:
- Anyone interested in AWS cloud-based machine learning and data science
- Anyone preparing for the AWS Machine Learning certification exam
- Anyone looking to learn best practices for deploying machine learning models in the Cloud
AWS Certified Machine Learning Specialty Course 2024 – Hands On(V2)
- Publisher: Udemy
- teacher: Manifold AI Learning
- Training level: beginner to advanced
- Training duration: 34 hours and 0 minutes
- Number of courses: 172
AWS Certified Machine Learning Specialty 2024 – Hands On(V2) course topics on 3/2024
AWS Certified Machine Learning Specialty 2024 Course Prerequisites – Hands On(V2)
- Basic knowledge of AWS
- Basic knowledge of Python Programming
- Basic understanding of Data Science
- Basic knowledge of Machine Learning
Course images
Sample video of the course
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