Theory | Hands-On Labs | Full Practice Exam with Explanations | Downloadable PDF Slides | Pass the certification exam
Description
Are you ready to master AWS Machine Learning and earn your certification? This comprehensive course prepares you for the AWS Certified Machine Learning Engineer Associate exam while building practical, hands-on skills you can apply immediately.
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
What This Course Offers
Through a perfect balance of theory and practice, you’ll master all services covered in the MLA-C01 exam. Each section includes conceptual lectures followed by hands-on demonstrations where you’ll implement what you’ve learned in real AWS environments.
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
Course Highlights
Complete Coverage: Learn all essential AWS services required for the certification, including Amazon SageMaker, Bedrock, Comprehend, Rekognition, and many more.
Hands-On Learning: Follow along with practical demonstrations for each key service, reinforcing theoretical concepts with real implementation experience.
Data Preparation Mastery: Develop expertise in AWS analytics services like Glue, EMR, Athena, and Kinesis to prepare data for machine learning workflows.
Deployment & Orchestration: Learn to deploy ML models using various AWS services and build automated CI/CD pipelines for ML workflows.
Monitoring & Security: Implement best practices for monitoring ML solutions, optimizing costs, and securing ML infrastructure using IAM, KMS, and other security services.
Beyond Certification
While this course thoroughly prepares you for the AWS Certified Machine Learning Engineer Associate exam, it goes beyond theoretical knowledge. You’ll develop practical skills in designing, implementing, and maintaining ML solutions on AWS that you can apply in real-world projects.
Whether you’re new to machine learning on AWS or looking to formalize your knowledge with certification, this course provides everything you need to succeed as an AWS Machine Learning Engineer.
Join now and take the next step in your cloud and machine learning career!
Total Students | 8339 |
---|---|
Duration | 53.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 187 |
Number of quizzes | 2 |
Total Reviews | 35 |
Global Rating | 4.3 |
Instructor Name | Deepak Dubey |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
🔥 Trending
Time & Value
- Est. time: 53.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Best Practices
- Analytics
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex