What You'll Learn
- Master the Machine Learning pipeline: Data Engineering, Exploratory Data Analysis, Modeling, and Deployment.
- Implement Deep Learning and Natural Language Processing (NLP) using AWS SageMaker.
- Optimize ML models for cost, performance, and scalability on AWS infrastructure.
- Design and implement AI/ML solutions using AWS Managed Services (Rekognition, Polly, Lex).
- Configure security and compliance for sensitive data within the AWS ML environment.
- Prepare for the MLS-C01 Certification with rigorous hands-on labs and exam strategies.
Prerequisites
Recommended background for this Specialty level course:
- Familiarity with AWS Cloud Infrastructure (CCP or Associate level recommended).
- Intermediate knowledge of Python and data science libraries (Pandas, NumPy).
- Basic understanding of statistics and Machine Learning algorithms.
Career & Salary Outlook
AWS ML Engineer$145,000 - $190,000
Senior Data Scientist$135,000 - $180,000
Cloud AI Architect$155,000 - $210,000
Machine Learning Specialist$120,000 - $175,000
* Salaries vary based on location, experience, and company size.
Who Is This For?
Data Scientists
ML Developers
AWS Architects
Big Data Engineers
Tech Consultants