EduMonkPROFESSIONAL CERTIFICATION TRACKProfessional
Machine Learning
Engineer
Build production-oriented machine learning capability with Vertex AI, guided labs, portfolio projects and focused exam preparation.
PREPARE FORA globally recognised credentialMove beyond models.
Learn the complete ML system.
Modern ML engineers connect data, experimentation, deployment, monitoring and responsible AI. This programme builds that end-to-end view while preparing learners for the external Google Cloud examination.
EduMonk provides certification preparation. Google independently governs its examination and certification award.
EduMonk experience.
PRAGYASHAL delivery.
One learner journey connects programme discovery, structured instruction, practical Google Cloud preparation and transparent career support.
EduMonk
EduMonk helps learners explore the right certification path, understand the programme, access counselling and follow a clear learning journey.
PRAGYASHAL
PRAGYASHAL PRIVATE LIMITED delivers the professional training, guided labs, project reviews and certification preparation.
Partner-led preparation with practical cloud context
PRAGYASHAL participates in the Google Cloud partner ecosystem. The programme uses that delivery experience to connect exam domains with applied cloud workflows.
Google does not administer this programme, internship or career support. Google independently governs its examination and certification award.
Six months.
Five visible stages.
Every stage produces evidence: a lab result, a technical explanation, a reviewed project, a mock-exam insight or a stronger professional profile.
- 01MONTH 01
Foundation
ML framing, statistics, Python, SQL and Google Cloud foundations.
- 02MONTH 02
Build & evaluate
Data preparation, features, experiments, BigQuery ML, AutoML and model evaluation.
- 03MONTH 03
Scale & deploy
Vertex AI training, tuning, registries, endpoints and production serving.
- 04MONTHS 04–05
Automate & monitor
MLOps pipelines, CI/CD/CT, responsible AI, drift, security and observability.
- 05MONTH 06
Prepare & present
Mock exams, gap analysis, capstone review, profile building and career guidance.
Learn inside the workflow.
Not beside it.
Labs connect a technical task with the architecture, evaluation, security and operating decisions expected from a production-minded practitioner.
Build a prediction baseline
BigQuery ML · SQLTrain, compare and explain a baseline model against a defined business metric.
Run repeatable training
Vertex AI · Cloud Storage · PipelinesPackage training, track experiments, tune parameters and retain model lineage.
Deploy online inference
Model Registry · Endpoints · Cloud RunVersion a model, plan a rollout and examine latency, throughput and cost.
Monitor responsible ML
Model Monitoring · Cloud LoggingDefine drift, quality, security and responsible-AI checks with a response plan.
Show how you think.
Not only what you trained.
Each project is designed to reveal the decision process behind a machine learning system: requirements, data, evaluation, deployment, monitoring and limitations.
Production-ready Vertex AI solution
Design a governed ML system spanning data preparation, experimentation, training, evaluation, deployment, monitoring and responsible-AI controls.
Prediction system
Frame and evaluate a supervised ML problem with a defensible business metric.
Architecture · implementation · evidence · presentationTraining pipeline
Create a repeatable Vertex AI workflow with tracked experiments and model lineage.
Architecture · implementation · evidence · presentationProduction architecture
Design monitored batch or online inference with security and reliability controls.
Architecture · implementation · evidence · presentationPrepare with the official
exam domains in view.
LEARNER CERTIFICATE · NANAPURAM VASANTHIVasanthi earned this credential after passing the external examination*An exam voucher is included subject to candidate eligibility, availability, programme terms and applicable examination policies. Google independently governs the examination and certification award. Programme participation does not promise examination success.
Build the profile.
Prepare for the opportunity.
Career support helps learners communicate their capability, prepare for selection processes and identify suitable opportunities. Employers always make independent hiring decisions.
Direction
Role mapping, strengths review and a practical development plan.
Profile
Resume, LinkedIn, credential and project-story refinement.
Readiness
Mock interviews, technical narratives and communication practice.
Opportunities
Relevant internship and placement openings may be shared when available.
Selection
Learners apply; employers independently shortlist, interview and decide.
Turn learning into workplace exposure
Eligible learners may be considered for internal or external internship opportunities based on availability, programme performance, role fit and selection requirements.
Prepare to present credible evidence
Placement assistance can include opportunity discovery, application support and interview preparation. It does not create an entitlement to an interview, offer, salary or employment.
From preparation
to a professional milestone.
These are individual, learner-reported outcomes—not promises. Each journey began with a different academic background and developed through structured learning and hands-on practice.
BCA graduate“Earning a globally recognised professional certificate became the highlight of my journey.”
Nanapuram Vasanthi
Machine Learning Engineer Intern
Read her full story →
B.Tech IT“The certification validated the effort I invested in machine learning and Google Cloud.”
Gavinolla Swathi Reddy
Machine Learning Engineer Intern · PRAGYASHAL
Read her full story →
BCA in Artificial Intelligence“Focused preparation and the right guidance turned uncertainty into a clear milestone.”
Gattumeeda Akshaya
Professional ML Engineer credential holder
Read her full story →Start with ₹30,000.
Plan the balance with Jodo.
The admission payment forms part of the ₹1,00,000 programme fee. Eligible applicants can request EMI conversion for the remaining programme-fee balance.
Admission payment adjusted against the total programme fee
Request conversion through Jodo Collect, subject to approval
Ready to discuss your fit?
Speak with admissions about prerequisites, schedule, venue, seat availability and payment options before deciding.
EMI availability, no-cost terms, tenure and approval are subject to KYC, applicant eligibility, credit or lender assessment, Jodo Collect and lending-partner policies, applicable terms and disclosed charges. EduMonk and PRAGYASHAL do not control or promise EMI approval. The programme provides preparation and career-support services; it does not purchase or promise certification, an interview, placement or employment.