EduMonkPROFESSIONAL CERTIFICATION TRACKProfessional Data Engineer
Data Engineer
Build a practical foundation for designing governed data platforms, pipelines and analytics workloads on Google Cloud. Build a visible portfolio through guided labs, projects, mock exams and career-readiness support.
PREPARE FORGoogle Cloud Professional Data Engineer certificationA six-month pathway.
Built around official domains.
For data analysts, developers, engineering graduates and data professionals moving towards cloud data engineering roles. The programme connects exam preparation with practical Google Cloud work, visible projects and a clearer professional story.
EduMonk provides certification preparation. Google independently governs its examination and certification award.
EduMonk experience.
PRAGYASHAL delivery.
Programme discovery, counselling, instruction, labs, projects and career guidance are presented as one clear learner journey.
EduMonk
EduMonk helps learners compare certification tracks, understand the programme and follow a clear preparation journey.
PRAGYASHAL
PRAGYASHAL PRIVATE LIMITED delivers training, guided labs, project reviews and certification preparation.
Partner-led preparation with applied cloud context
PRAGYASHAL participates in the Google Cloud partner ecosystem. The programme connects exam domains with practical cloud workflows.
Google does not administer this programme, internship or career support. Google independently governs its examination and certification award.
From foundations
to exam readiness.
Each stage produces evidence: lab outcomes, technical explanations, reviewed projects, mock-exam insights and stronger profile material.
- 01MONTH 01
Foundations
Secure and governed data architecture, BigQuery, BigLake and Cloud Storage
- 02MONTH 02
Core domains
Dataflow, Pub/Sub, Dataproc and Apache Beam, Batch, streaming and AI-enriched pipelines
- 03MONTH 03
Applied labs
Warehouse, lake and federated data-platform design, Dataform, Composer, Workflows and CI/CD
- 04MONTHS 04–05
Projects & review
BI, BigQuery ML, embeddings and RAG data preparation, Observability, capacity and cost optimisation
- 05MONTH 06
Mock exams & profile
Migration, resilience and data-quality controls
Practice inside
real cloud workflows.
Labs connect technical execution with the architecture, security, reliability and operating decisions expected from a production-minded practitioner.
Create a governed BigQuery analytics environment
BigQuery · IAM · Policy tags · Cloud KMSDesign datasets, access boundaries, partitioning and auditable governance controls.
Build a real-time event pipeline
Pub/Sub · Dataflow · BigQueryIngest, transform and monitor streaming data with late-event and quality considerations.
Orchestrate a repeatable data workflow
Cloud Composer · Dataform · WorkflowsSchedule dependencies, validations, transformations and failure handling.
Operate a discoverable data platform
Dataplex · BigLake · Cloud MonitoringApply catalogue, quality, observability, lifecycle and cost-management practices.
Show your judgement.
Not only your notes.
Projects are designed to reveal the decision process behind a professional cloud solution: requirements, alternatives, risks, implementation choices and evidence.
Data Engineer portfolio case study
Model an analytics-ready data domain in BigQuery
Model an analytics-ready data
Model an analytics-ready data domain in BigQuery
Architecture · implementation · evidence · presentationDesign a batch and
Design a batch and streaming ingestion pathway
Architecture · implementation · evidence · presentationReview a governed data
Review a governed data platform for reliability, security and cost
Architecture · implementation · evidence · presentationPrepare with official
exam domains in view.
SAMPLE CREDENTIAL VISUALGoogle Cloud Professional Data Engineer certification*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 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.
Where this preparation can point
Data Engineer, Cloud Data Engineer, Analytics Engineer, Data Platform Engineer are typical direction labels learners may explore depending on background and capability.
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.
Real preparation.
Individual milestones.
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.
Campus / early career“The programme gave me a clear preparation path when I was moving from campus learning toward a professional cloud role. The 1:1 guidance helped me understand where I needed to improve, while the supported labs made Google Cloud services feel practical instead of abstract.”
Bhargavi Bhanu
Cloud Developer Intern · PRAGYASHAL
Read full story →
BCA graduate“I joined the programme as a trainee with a BCA degree background. Passing the Google Cloud Professional Machine Learning Engineer exam is one of the greatest achievements of my life. I have never felt so happy after an exam; the feeling was difficult to put into words.”
Nanapuram Vasanthi
Machine Learning Engineer Intern
Read full story →
BCA graduate“After completing my BCA with a specialisation in Artificial Intelligence, I was passionate about building a career in the IT industry. During my job search, however, I found many possible roles and learning paths. I needed more than another list of courses—I needed clarity about which direction genuinely matched my background and interests.”
Gattumeeda Akshaya
Professional ML Engineer Credential Holder
Read 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.