No-Code Machine Learning with SageMaker Canvas — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

No-Code Machine Learning with SageMaker Canvas

Discover how to build, train, and deploy machine learning models without writing code using SageMaker Canvas, perfect for beginners.

  • 💬 AI instructor
    Ask about any lesson and get a clear answer instantly, anytime.
  • 🕐 Start anytime
    No schedules or deadlines — learn at your own pace, whenever suits you.
  • 🌐 In English
    Lessons, tasks and certificate — all fully in your language.

About this course

Are you interested in machine learning but daunted by complex coding? Unlock the power of AI without needing to write a single line of code. This course guides you through the process of creating and deploying practical machine learning solutions using SageMaker Canvas, transforming you into a capable no-code ML practitioner. What you'll learn: Understand core machine learning concepts and terminology. Navigate the SageMaker Canvas interface for no-code model development. Prepare and preprocess data effectively for machine learning tasks. Build and train classification and regression models using automated ML. Evaluate model performance and interpret results for informed decisions. Deploy your trained machine learning models for real-world applications. Apply foundational principles of responsible AI in model creation. The course begins with essential machine learning concepts, progresses through data preparation and model building within SageMaker Canvas, and concludes with model evaluation and deployment. This course is designed for absolute beginners with no prior machine learning experience or programming knowledge. All you need is a desire to learn and apply machine learning. Start your journey into no-code machine learning today and harness the capabilities of AI.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
No-Code Machine Learning with SageMaker Canvas
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
No-Code Machine Learning with SageMaker Canvas
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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