About Certified Machine Learning Associate (CMLA) AI3020
The CMLA course lays a solid machine learning foundation for beginners. It explains algorithms, selection, and performance checks. Too many AI projects flop from weak fundamentals—this fills the gap with supervised/unsupervised learning and real cases, done practically. Sprintzeal's machine learning associate training preps you to join data teams, tackle ML tasks, and step up to advanced AI role Sprintzeal’s machine learning associate course equips you with the confidence to work with data science teams, contribute to ML projects, and prepare for more advanced roles in AI and machine learning.
Certified Machine Learning Associate (CMLA) AI3020 Key Features
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Why earn a machine learning associate certification now?
Mode Of Training
New York NY
Corporate Training
- We can customise the training
- Flexible pricing options
- 24x7 learner assistance and support
- We can deliver both In-Person or Live Online
- Pay after the training completion
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Course Agenda
Company Brochure
The machine learning associate training program governed by IABAC provides a structured understanding of how machine learning works in real-world environments. In this course, you won't just learn about how to code an ML model; but rather you'll learn how to build ML models, train, verify, and use them to solve real-world problems.
This course demonstrates the ways to train ML models using data, how algorithms find and learn to detect patterns within that data, and how those patterns can then be used to create predictions that will have an accuracy, reliability rating.
You'll also see many common business and industry applications of ML, as well as the ethical considerations facing ML and the importance of correct ML usage.
Certified Machine Learning Associate Course Description
The Certified Machine Learning Associate course offers a straightforward intro to machine learning—focusing on essentials, terms, and workflows, not heavy code or math. Learners grasp supervised vs. unsupervised methods, key algorithms conceptually, and how to evaluate/improve models. It covers limits, risks, and myths too. This machine learning associate certification balances ML strengths and pitfalls for tech and non-tech pros alike.
Machine Learning Associate Training Course Objectives
This machine learning associate certification targets six core goals:
- Grasp ML Fundamentals
See what machine learning means, how it beats traditional code, and its key uses. - Cover Supervised & Unsupervised Learning
Master classification, regression, clustering, and main approaches. - Understand Data's ML Role
Learn how data quality, features, and scale drive machine learning results. - Evaluate Models Effectively
Measure accuracy, performance, and limits clearly. - Spot Real-World ML Uses
Explore machine learning in finance, healthcare, retail, and tech. - Prep for Advanced AI Paths
Build foundations for deeper data science or ML certs.
After completing the Certified Machine Learning Associate (CMLA) certification, you will be able to:
- Explain machine learning concepts clearly and confidently
- Understand how ML models are trained and evaluated
- Identify suitable machine learning approaches for business problems
- Recognize strengths and limitations of ML systems
- Collaborate effectively on AI and data-driven projects
- Prepare for advanced roles in machine learning and AI
Machine learning knowledge is becoming a core requirement across industries. Professionals with a machine learning associate certification stand out by understanding how intelligent systems function and how they deliver value.
This certification supports roles such as:
- Data Analyst
- Junior Machine Learning Engineer
- Business Intelligence Professional
- AI / ML Project Coordinator
- Software and Technology Professionals
- Students and Career Switchers entering AI fields
This certification enhances collaboration with technical teams rather than replacing them.
Exam Pattern and Structure
- Exam Name: Certified Machine Learning Associate (CMLA)
- Exam Code: AI3020
- Format: Multiple-Choice Assessment
- Duration: 60 minutes
- Exam Mode: Online, Proctored
- Passing Score: As defined by IABAC standards
- Results: Issued within 7–10 working days
Complete Course Syllabus Breakdown
- Part 1: Introduction to Machine Learning
- Part 2: Machine Learning vs Traditional Programming
- Part 3: Supervised Learning Concepts
- Part 4: Unsupervised Learning Concepts
- Part 5: Data Preparation and Feature Basics
- Part 6: Model Evaluation and Performance Metrics
- Part 7: Machine Learning Applications Across Industries
- Part 8: Ethical Considerations and Responsible Machine Learning
Certification Validity and Renewal
The CMLA certification is valid for 3 years. IABAC encourages continuous learning to stay aligned with evolving machine learning practices. Your digital certificate is globally verifiable and easily shareable across professional platforms.
Prerequisites for Enrollment
- No prior machine learning experience required
- Basic understanding of data concepts is helpful
- Suitable for students, professionals, and career switchers
- Ideal for beginners entering AI and ML domains
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Participant Reviews
Your career is our goal. We care for your professional empowerment. Don’t take it from us. Find out what our participants say about our service!
Jonah Carroll 4
Aug 21st, 25
IT Support Tier 1
The trainer did well covering a wide range of topics in 4 days, although I would have liked some more real-life representations of what was being shown.Perhaps VMs, or examples of how viruses work in a real-to-life environment.Aside from that, I thought the course was very informative and helped build a framework for an understanding of Security+. We were also provided 12 hours of CompTIA labs that I think will be a HUGE help.
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Terence Bourke 5
Jun 14th, 25
Senior Consultant, Info Technology
My trainer Dan Chauncey was extremely helpful with practical experiences that he conveyed regarding several of the questions that I had. The information is extensive. And the tools that have been provided are very detailed and understandable. Thorough training. Looking forward to more in the future.
Yogi Sankepally 5
Feb 4th, 25
Independent IT Consultant
Class: "AWS Solution Architect Associate"
Small class size, with more emphasis on hands-on practice for each topic covered. The trainer Ameya Vaidya is knowledgeable and explains lucidly with real-life examples. Would definitely recommend.
Tony, USA 5
Apr 29th, 25
Network Eng.
Highly Recommend CISSP Bootcamp With Tom
I have no complaints. The training was well paced, the materials seem to be spot on, and the trainer, Mr. Tom Scott, was an excellent trainer. I think I'm ready for the exam. Let's go!
Lance Meyer 5
Apr 1st, 25
Network Administrator
Great practical application and 1-1 training
The training was virtual and thus I was expecting a 'room' full of people. However it was just the instructor (Sonu Verma) and I. This made it much easier to tailor the instruction to my background and learning style and to go faster through material that I was already comfortable with.
Nageswararao Seemakurty 5
Apr 18th, 25
Cloud Engineer
Liked the AWS training course that I took at Sprintzeal. The content was good and the trainer took time to go back and answer any questions. The slides depicted the concept on each topic well. I recommend this course for quick grasp.
Bernadette Vida 5
Mar 31st, 25
IT Program Manager, Business Owner
Dana is an excellent instructor. He had a lot of test taking and industry experience. I noticed that the power point and test material references the 5th edition. For example, the reference to Quality Audit which is in the 6th Edition called Quality Assurance. Dana was able to point these out and reduce confusion.
Rodney Bowers, MBA 4
Feb 26th, 25
Program Manager
The course serves as a good guide as to what areas you should focus on in regards to taking the exam. Instructor actually cares about your success and is overly helpful in providing understanding of the concepts
Edward Lee 5
Mar 21st, 25
Senior Manager
Lean Six Sigma Black Belt
Informative and practical approach of training session. Emphasizing more on the relevant tools that can be use depending on the project that you are working on.
Anetra Doherty 5
Feb 17th, 25
SFL Career Counselor at Inverness Technologies
Kevin Davis Phenomenal instructor that provided actual conceptual scenarios that focused on the overall PMP concept that I could relate to in the corporate culture. He was very patient and determined to ensure we stayed on track w/ the focus of understanding the fundamentals of PMP.
No—it emphasizes machine learning concepts over coding or math.
Students, pros, or aspiring AI folks building ML foundations.
Yes, fully agnostic across machine learning tools and platforms.
Frequently Asked Questions
Structured, real-world lessons from expert instructors.
Yes—flexible and self-paced for pros.
Pass the assessment post-training for your global IABAC CMLA digital certificate.
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