Udemy – AWS Certified Machine Learning Associate MLA-C01 – Updated 2024-10
Published on: 2024-12-19 19:22:48
Categories: 28
Description
AWS Certified Machine Learning Associate MLA-C01 – Updated. This course introduces you to the exciting world of AI and machine learning on the AWS platform. Designed for AI professionals and enthusiasts, this comprehensive course provides you with all the skills you need to successfully test and implement AI solutions in the real world.
What you will learn:
- Machine Learning Fundamentals: Fundamentals of machine learning, including supervised and unsupervised learning, data preprocessing, and feature engineering.
- AWS Machine Learning Services: Hands-on proficiency with tools like Amazon SageMaker, Rekognition, Comprehend, Polly, and Kinesis.
- Solving real-world problems: Practical projects such as recommender systems, fraud detection, and natural language processing applications.
- Advanced topics: hyperparameter tuning, model optimization, governance, and scalability of ML pipelines on AWS.
This course is suitable for people who:
- Aspiring Machine Learning Engineers: People looking to start their careers in artificial intelligence and machine learning.
- Data Scientists: Data professionals looking to expand their expertise in AWS-based machine learning services and tools.
- Cloud Professionals: AWS professionals seeking expertise in artificial intelligence and machine learning.
- Software Developers: Developers looking to enter the AI/ML space and add machine learning to their skill set.
- IT Professionals: People interested in understanding and implementing AI-based solutions in their organization.
- Students and enthusiasts: Anyone interested in learning advanced machine learning technologies and pursuing a career in artificial intelligence.
AWS Certified Machine Learning Associate MLA-C01 Course Details – Updated
- Publisher: Udemy
- Instructor: Manifold AI Learning ®
- Training level: Beginner to advanced
- Training duration: 25 hours and 30 minutes
- Number of lessons: 132
Course syllabus on 2024/11
AWS Certified Machine Learning Associate MLA-C01 Course Prerequisites – Updated
- Basic Understanding of Machine Learning Concepts: Familiarity with terms like supervised and unsupervised learning, regression, and classification will be helpful.
- Experience with Python Programming: A foundational knowledge of Python and its libraries like NumPy, pandas, or scikit-learn is beneficial.
- Basic Knowledge of AWS Services: Familiarity with AWS basics like EC2, S3, or Lambda is an advantage, although not mandatory.
- A Laptop or Desktop with Internet Access: To perform hands-on labs and access AWS services.
- Willingness to Learn and Explore: Curiosity and a commitment to learn are the most important prerequisites!
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Download Part 1 – 2 GB
Download Part 2 – 2 GB
Download Part 3 – 2 GB
Download Part 4 – 2 GB
Download Part 5 – 2 GB
Download Part 6 – 1.01 GB
File(s) password: www.downloadly.ir
File size
11.0 GB
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