Charles Landau
Technical Lead, AI/ML - Guidehouse
Developing your First ML Workflow
Step into the world of ML engineering with interactive AWS projects. Train models, deploy endpoints, and automate workflows using SageMaker, Lambda, and Step Functions to deliver efficient machine learning applications.
- Course
- Intermediate
- 15 hours
- Updated: Aug 6, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
12 skills
- AWS lambda
- Sagemaker processing
- Sagemaker batch transform jobs
- Sagemaker training jobs
- Sagemaker clarify
Prerequisites
5 prerequisites
Prior to enrolling, you should have the following knowledge:
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 5 lessons
- 1 project
Program Instructors
2 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Joseph Nicolls
Lead Engineer, ML/AI
Charles Landau
Technical Lead, AI/ML - Guidehouse
Joseph Nicolls
Lead Engineer, ML/AI
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates