| Duration: | 50 Hrs (Weekdays & Weekend Session) |
|---|---|
| Mode: | Online/Classroom |
| Certification: | AWS Certified Machine Learning Engineer - Associate (MLA-C01) |
| Institute: | WebAsha Technologies |
| Includes: | Expert-Led Sessions, Practice Tests & Attendance Certificate |
Our learners are hired by the world's most respected technology, IT services and consulting brands.
Our learners talk about how the program changed their careers.
Real feedback from learners now placed across top technology and consulting firms.
A step-by-step path from your first lesson to certification and a job offer.
What you get from our AWS Certified Machine Learning Engineer - Associate | MLA-C01 course: a solid foundation in the basics and real-world, job-ready skills.
What learners get at WebAsha Technologies: practical IT training and the skills employers hire for.
Career-focused IT training with expert mentors, practical labs and globally recognized certifications, so you stand out when you apply for jobs.
| Features | Recommended WebAsha Technologies | Other Institutes |
|---|---|---|
| Expert Trainers | 10+ Years Experienced Industry Professionals | Freshers or Part-time Instructors |
| Course Curriculum | Updated & Industry-Relevant (Cybersecurity, Cloud, DevOps, Linux, AI/ML) | Basic or Outdated Content |
| Hands-on Learning | Real Projects, Labs & Case Studies | Theory-Focused, Limited Practical |
| Certifications | Globally Recognized (EC-Council, OffSec, Red Hat, AWS, Microsoft, etc.) | Generic or Unrecognized Certificates |
| Placement Support | 100% Assistance + Resume & Interview Coaching | Limited or No Job Support |
| Flexible Learning | Classroom & Online Training Options | Rigid Timings, Mostly Classroom-Only |
| Learning Resources | Lifetime LMS Access, Study Materials, Recorded Sessions | Minimal or No Additional Resources |
| Batch Size | Small Groups with 1:1 Mentorship | Large, Crowded Batches |
Our counsellors can help you arrange a batch that fits your timing.
Prepare for the exam with our Classroom and Online AWS Certified Machine Learning Engineer - Associate Training at WebAsha Technologies. It builds the knowledge and skills that the AWS Certified Machine Learning Engineer - Associate exam tests.
The exam tests whether you can build, deploy, operationalise and maintain machine learning solutions and pipelines on AWS. The course covers data preparation, model development and training, ML deployment and orchestration (MLOps), and monitoring, security and maintenance, using Amazon SageMaker and related services. It was written for MLA-C01. AWS's certification page says the last day to take MLA-C01 in English was 28 September 2026. The updated exam, MLA-C02, has been in beta since 29 September 2026, and AWS has not yet given a date for its general release. MLA-C02 keeps four domains: data preparation for ML and AI (28%), ML model and foundation model development (24%), deployment and orchestration of ML and AI workflows (24%), and operating, monitoring and securing ML and AI solutions (24%). It adds foundation model, RAG and agent topics to each.
This course suits aspiring and practising ML engineers, data scientists and MLOps engineers who want to build and operationalise ML on AWS.
Online participants should have a stable internet connection and a laptop or desktop. The programme includes trainer-led sessions and practice tests.
AWS sets no formal prerequisite. It recommends at least one year of experience with Amazon SageMaker and other AWS services for ML engineering. Cloud Practitioner or AI Practitioner knowledge and Python help before MLA.
ML engineering jobs are growing. In India, AWS ML Engineer certified professionals typically earn ₹6 LPA to ₹42+ LPA.
| Category | Tools & Components Covered |
|---|---|
| ML Platform | Amazon SageMaker |
| Pipelines | SageMaker Pipelines, Step Functions |
| Data | S3, Glue, Feature Store |
| Training | SageMaker Training, tuning |
| Deployment | SageMaker Endpoints |
| Monitoring | Model Monitor, CloudWatch |
| Security | IAM, KMS |
| Frameworks | TensorFlow, PyTorch, scikit-learn |
The largest domain. It covers collecting and storing data, turning it into features a model can use, and checking its quality. MLA-C02 adds data work for foundation models and Retrieval Augmented Generation (RAG).
This domain is about choosing a modelling approach, training or customising the model, and judging how well it performs.
Here the exam tests how models, foundation models and agents are deployed, how the supporting resources are provisioned, and how the workflow is automated.
The final domain covers keeping a deployed solution healthy, affordable and secure.
WebAsha exam practice: WebAsha adds exam practice questions and full-length mock exams at the end of the course. This revision is our own addition and is not part of the AWS exam guide.
Get the full curriculum, modules & exam details delivered to you instantly.
Learn from certified AWS Certified Machine Learning Engineer - Associate | MLA-C01 experts who work in the industry and teach with practical, real-world examples.
Test your skills with an online assessment exam and find out how ready you are for your certification.
MLA-C01 is the AWS associate certification for ML engineers, recognised globally. It has 65 questions in 130 minutes, and the pass mark is 720 of 1000. English delivery of MLA-C01 ended on 28 September 2026. Its replacement, MLA-C02, is in beta with 85 questions in 170 minutes.
| Attribute | Details |
|---|---|
| Exam Name | AWS Certified Machine Learning Engineer - Associate |
| Exam Code | MLA-C01 (English delivery ended 28 September 2026). The updated exam, MLA-C02, is in beta |
| Number of Questions | 65 (50 scored + 15 unscored). The MLA-C02 beta has 85 |
| Exam Duration | 130 minutes for MLA-C01. The MLA-C02 beta is 170 minutes |
| Passing Score | 720 of 1000 (scaled) |
| Level | Associate |
| Recommended Prep | At least 1 year with Amazon SageMaker and other AWS ML engineering services |
| Validity | 3 years |
| Exam Mode | Pearson VUE test centre or online proctored |
The table shows typical packages in India for AWS ML Engineer certified professionals.
| Job Title | Primary Responsibilities | Average Salary (INR) |
|---|---|---|
| Machine Learning Engineer | Build and deploy ML. | Fresher: ₹6-11 LPA Experienced: ₹18-38 LPA |
| MLOps Engineer | Operationalise ML. | Fresher: ₹7-11 LPA Experienced: ₹18-36 LPA |
| Data Scientist | Build ML models. | Fresher: ₹6-10 LPA Experienced: ₹16-34 LPA |
| AI/ML Engineer | Engineer AI solutions. | Fresher: ₹6-11 LPA Experienced: ₹18-36 LPA |
| ML Platform Engineer | Build ML platforms. | Experienced: ₹18-38 LPA |
| Applied Scientist | Apply ML research. | Experienced: ₹20-42 LPA |
Salaries vary with experience and role. The AWS Certified Machine Learning Engineer - Associate certification is a useful credential for career growth.
The AWS Certified Machine Learning Engineer - Associate certification shows you can build, deploy and operationalise ML on AWS, a skill that is in demand and pays well.
Prepare for AWS Certified Machine Learning Engineer - Associate with WebAsha Technologies. The programme follows the AWS Certified Machine Learning Engineer - Associate exam, with expert instruction and practice tests.
Learning, career, certification and placement support in one program.
Former students now working at leading companies, and how they got there.
AWS Certified Machine Learning Engineer - Associate | MLA-C01 is a hands-on AWS cloud computing training course by WebAsha Technologies, available online and in classroom with live projects, certification prep and placement support. It suits beginners and professionals, runs about 6 to 12 weeks, and leads to roles such as Cloud Engineer, AWS Solutions Architect, Cloud DevOps Engineer paying roughly 4.0 to 28.0 LPA.
| Feature | WebAsha AWS cloud | Self-study | Generic online course |
|---|---|---|---|
| Live instructor-led training | Yes | No | Sometimes |
| Hands-on labs & real projects | Yes | Limited | Limited |
| Certification exam preparation | Yes | Self-managed | Varies |
| Doubt-solving & mentorship | Yes | No | Limited |
| Placement assistance | Yes | No | Rare |
| Industry-recognised certificate | Yes | No | Varies |
Last updated: 8 July 2026
AWS Certified Machine Learning Engineer - Associate | MLA-C01 is a hands-on training program in AWS cloud computing. It takes you from fundamentals to working skills through live sessions, lab practice and real projects, with an industry-recognised certificate and placement support.
IT professionals moving to the cloud System and network administrators Developers building on AWS Freshers targeting a cloud career
Basic IT and networking concepts Familiarity with Linux basics is helpful No prior cloud experience required
You will build practical skills including core aws services (ec2, s3, vpc, iam), cloud architecture & the well-architected framework, networking, security & identity, databases (rds, dynamodb), automation with cloudformation and more, applied through hands-on labs and real projects.
The AWS Certified Machine Learning Engineer - Associate | MLA-C01 syllabus spans AWS cloud computing, from core concepts to advanced modules, each reinforced with lab exercises and a capstone-style project.
AWS Certified Machine Learning Engineer - Associate | MLA-C01 typically runs about 6 to 12 weeks depending on the track (weekday or weekend), plus lab and project time. Fast-track and extended options are available. Ask for the current batch schedule.
AWS Certified Machine Learning Engineer - Associate | MLA-C01 fees depend on the mode (classroom or live-online) and track, and WebAsha Technologies offers flexible / no-cost EMI options. Request the latest fee details and any running offers from the enquiry form.
Both. You can take AWS Certified Machine Learning Engineer - Associate | MLA-C01 as a live-online program or attend classroom sessions, with the same syllabus, hands-on labs and trainers in either mode.
Yes. AWS Certified Machine Learning Engineer - Associate | MLA-C01 runs in weekday, weekend and evening batches so students and working professionals can train without disturbing their schedule.
Yes. AWS Certified Machine Learning Engineer - Associate | MLA-C01 starts from fundamentals so beginners can follow along, while the advanced modules add depth for experienced learners.
Absolutely. Many learners are working professionals. Flexible weekend, evening and live-online AWS Certified Machine Learning Engineer - Associate | MLA-C01 batches let you upskill without a career break.
Yes. AWS Certified Machine Learning Engineer - Associate | MLA-C01 is project-driven. You practise in real labs and build live projects in AWS cloud computing alongside the theory, so you finish interview-ready.
After completing AWS Certified Machine Learning Engineer - Associate | MLA-C01 you can target roles such as Cloud Engineer, AWS Solutions Architect, Cloud DevOps Engineer, Cloud Administrator, with senior packages reaching around 28.0 LPA depending on experience and location.
Aws cloud computing roles typically start around 4.0 LPA for freshers and rise to about 28.0 LPA for experienced professionals. Actual packages depend on your skills, role and employer.
Yes. Aws cloud computing skills are in strong, growing demand across IT services, product companies and startups, offering clear career progression and rising salaries for certified professionals.
Trained AWS cloud professionals are hired by IT-services majors, global capability centres, product companies and startups. Organisations across the industry actively recruit for AWS cloud computing.
Yes. WebAsha Technologies provides resume building, mock interviews and referrals to hiring partners as part of dedicated placement support. Outcomes depend on your skills and effort.
AWS Certified Machine Learning Engineer - Associate | MLA-C01 is taught by experienced, industry-certified trainers who bring real project experience into the classroom, so you learn current, job-relevant practices.
Yes. You receive an industry-recognised WebAsha training certificate, and the course also prepares you for the relevant official certification exam.
Yes. Alongside job skills, AWS Certified Machine Learning Engineer - Associate | MLA-C01 includes structured exam preparation, with practice tests and guidance for the recognised AWS cloud certification employers look for.
Yes. You can book a free demo session for AWS Certified Machine Learning Engineer - Associate | MLA-C01 to meet the trainer and experience the teaching style before you enroll.
WebAsha combines hands-on labs, certified trainers, live projects, certification prep and dedicated placement support. It is a practical, job-focused route into AWS cloud computing.
Click Enroll Now, request a callback, or message our team on WhatsApp to get the latest batch schedule, fees and available offers.
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