
01Professional Cloud Database Engineer
Prepare to design, migrate, operate and optimise dependable database platforms on Google Cloud.
- Duration
- 6 Months
- Mode
- Offline
- Batch
- 5 Seats
- Fee
- ₹1L + GST
Role-aligned Google Cloud Professional Certification preparation with offline instruction, supervised labs, mock tests, an exam voucher subject to terms and an eligibility-based internship pathway.
Looking for a focused online programme?Explore ₹3,150 Specialisations ↓Choose by the work you want to do: develop cloud applications, build data platforms, operate production ML, design enterprise architecture or manage cloud databases.

01Prepare to design, migrate, operate and optimise dependable database platforms on Google Cloud.

02Build a practical foundation for designing governed data platforms, pipelines and analytics workloads on Google Cloud.

03Prepare to develop, evaluate, deploy and operate responsible machine-learning systems with Vertex AI and Google Cloud.

04Learn to reason about secure, reliable and cost-aware enterprise architectures across Google Cloud services.

05Prepare to build, deploy and operate scalable cloud-native applications using modern Google Cloud services and practices.
Start with the work you want to do and your current background. Then compare two or three tracks across prerequisites, labs, career directions, availability and programme terms.
This guidance narrows the catalogue; it is not an eligibility decision. Counselling confirms programme fit.
3/3 selected · Select at least two programmes for the clearest comparison.
Cloud Database Engineer
Data Engineer
Machine Learning EngineerFor database professionals, data-platform aspirants and developers who want deeper capability in cloud database architecture and operations.
For data analysts, developers, engineering graduates and data professionals moving towards cloud data engineering roles.
For ML learners, data scientists, AI engineers and software professionals seeking production-oriented cloud ML capability.
Cloud Database Engineer · Database Administrator · Database Engineer · Data Platform Engineer
Data Engineer · Cloud Data Engineer · Analytics Engineer · Data Platform Engineer
Machine Learning Engineer · AI Engineer · Cloud ML Engineer · MLOps Engineer · Generative AI Engineer
Comfort with relational database concepts and SQL · Basic understanding of applications, networking and cloud services
Comfort with SQL, tables and basic data-analysis concepts · Helpful familiarity with Python or another programming language
Working familiarity with Python and SQL · Foundation in statistics and supervised machine-learning concepts
4 domains covered
5 domains covered
6 domains covered
Build a highly available Cloud SQL environment · Design an AlloyDB application data layer · Rehearse a production database migration · Operate a globally scalable database
Create a governed BigQuery analytics environment · Build a real-time event pipeline · Orchestrate a repeatable data workflow · Operate a discoverable data platform
Build a low-code prediction baseline · Run a repeatable custom training workflow · Deploy and scale online inference · Monitor a responsible production model
2/5 filled · 3 available
3/5 filled · 2 available
2/5 filled · 3 available
6 months · Offline · Maximum 5 learners
6 months · Offline · Maximum 5 learners
6 months · Offline · Maximum 5 learners
₹1,00,000 + GST · Start with ₹30,000 · Jodo Collect EMI request available*
₹1,00,000 + GST · Start with ₹30,000 · Jodo Collect EMI request available*
₹1,00,000 + GST · Start with ₹30,000 · Jodo Collect EMI request available*
Included, subject to eligibility and applicable terms
Included, subject to eligibility and applicable terms
Included, subject to eligibility and applicable terms
Internship consideration follows eligibility assessment; allocation is not guaranteed
Internship consideration follows eligibility assessment; allocation is not guaranteed
Internship consideration follows eligibility assessment; allocation is not guaranteed
Download a structured summary or open a prefilled WhatsApp message. WhatsApp does not send it automatically—you review and tap Send.
Bhargavi joined the Professional Cloud Developer programme while preparing to move from academic learning into a professional technology environment. She cleared the Google Cloud Professional Cloud Developer examination within three months and is now working as a Cloud Developer Intern at PRAGYASHAL.

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.
Mock tests were especially valuable because I could review every attempt, identify weaker exam domains and return to them with a better plan. Training delivered by PRAGYASHAL, a Google Cloud Partner, together with Google learning sessions, helped me connect certification concepts with the way cloud applications are built and discussed in a professional environment.
Clearing the Professional Cloud Developer exam within three months was an important milestone. Beginning my internship as a Cloud Developer at PRAGYASHAL has now given me the opportunity to continue learning through real assignments, reviews and team workflows.
Individual reviews helped Bhargavi identify weak areas, clarify difficult concepts and keep her preparation focused.
Guided Google Cloud labs turned service knowledge into repeatable development, deployment and troubleshooting practice.
Timed mock tests, domain-level analysis and review sessions helped her recognise gaps before the official examination.
The programme was delivered by PRAGYASHAL, a Google Cloud Partner, with preparation connected to practical cloud workflows.
Google-led learning sessions added product context and helped connect exam domains with current cloud-development practices.
See how structured preparation, practical support and persistence helped learners turn professional certification goals into meaningful career steps.
View all success stories →
Professional Cloud DeveloperBhargavi moved from campus learning to certification readiness and a Cloud Developer internship through guided preparation, practical labs, mock tests and focused review.
Professional Machine Learning EngineerComing from a BCA degree background, Vasanthi joined as a trainee, developed practical Google Cloud machine learning capability, passed the Professional Machine Learning Engineer exam and received an internship opportunity through the programme.
Professional Machine Learning EngineerAfter a BCA specialising in Artificial Intelligence, Akshaya used PRAGYASHAL career guidance and structured machine learning preparation to gain direction, strengthen her technical confidence and clear the Google Cloud Professional Machine Learning Engineer exam.
Professional Machine Learning EngineerSwathi progressed from B.Tech IT project leadership and a strong Python and Java foundation to hands-on Google Cloud preparation, the Professional Machine Learning Engineer certification and a Machine Learning Engineer internship at PRAGYASHAL.
DB PROFESSIONAL TRACKCloud Database Engineer
DE PROFESSIONAL TRACKData Engineer
ML PROFESSIONAL TRACKMachine Learning Engineer
CA PROFESSIONAL TRACKCloud Architect
CD PROFESSIONAL TRACKCloud DeveloperSeat figures show current cohort allocations supplied for this admissions update and may change after counselling or payment confirmation. A submitted enquiry does not reserve a seat.
The programme guarantees a structured learning process. Certification, internship selection and employment outcomes depend on individual performance, external policies and available opportunities.
Match your background and career direction to one of five professional tracks.
Build role-aligned knowledge through instructor sessions and official exam-guide mapping.
Complete supervised labs, assignments, mock tests and applied project reviews.
Use the included exam voucher subject to eligibility, availability and programme terms.
Move into internship consideration and career support based on readiness and opportunity availability.
Move beyond passive exam content with a small-cohort system that connects knowledge, labs, review and professional communication.
Use focused reviews to identify knowledge gaps, plan practice and prepare with clearer priorities.
Turn exam objectives into hands-on decisions with support when environments or workflows become difficult.
Practise exam-style reasoning, review incorrect choices and improve how you approach scenario questions.
Learn in a maximum five-person track with room for discussion, review and accountable progress.
Connect certification preparation to labs, projects, technical explanations and professional evidence.
Prepare for internship consideration and relevant opportunities without presenting selection as guaranteed.
EduMonk provides a professional certification preparation programme. Google independently governs its examinations, policies and certification awards.
View the official partner listing ↗




Not ready for a six-month offline professional track? Choose from 21 concise online Certificate of Specialisation programmes designed around practical learning, a clear fee and a manageable weekly commitment.
Practical online programmes across artificial intelligence, data, programming and cloud.

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Build a high-demand technology through 30 focused hours—then strengthen the communication, confidence and professional habits that help you use it well.


Successfully complete your Specialisation requirements to receive an EduMonk Certificate of Specialisation and a programme-specific Letter of Recommendation in digital and printed formats.
Printed documents are dispatched by post to the complete learner address recorded before dispatch.
Use practical roadmaps, comparisons and salary guides as directional research—not as guaranteed career outcomes.
Decision guideArtificial Intelligence · Decision guide · 8 min readChoose the right technology courseA five-question framework for choosing an online technology course based on outcomes, prerequisites, projects, time and credible evidence.
Read the guide ↗
RoadmapArtificial Intelligence · Roadmap · 12 min readMachine Learning roadmapFollow a practical machine-learning roadmap through Python, data preparation, modelling, evaluation, projects and responsible deployment thinking.
Read the guide ↗
RoadmapData · Roadmap · 11 min readData Analytics roadmapBuild a data analytics foundation through spreadsheets, SQL, metrics, visualisation, stakeholder thinking and a decision-focused portfolio project.
Read the guide ↗Understand who delivers the programme, what the voucher covers and how certification and opportunity decisions work.
No. This is an EduMonk professional certification preparation programme delivered by PRAGYASHAL, a Google Cloud Partner. Google Cloud certification examinations, eligibility, policies and certification awards are governed by Google and the applicable examination provider.
An exam voucher is included subject to the selected track, candidate eligibility, voucher availability, applicable programme terms and the examination policies in force at the time.
No. Completion of training leads to an internship eligibility assessment, not automatic allocation. Consideration depends on attendance, assessments, lab and project performance, capstone completion, conduct, communication, technical readiness, internal evaluation and suitable project availability.
No. The range applies only to learners selected for applicable paid internship opportunities. Selection, allocation, duration and stipend depend on eligibility, performance, project availability, business needs and the applicable policies.
No. The programme includes career-readiness support, relevant opportunity sharing and placement assistance where available. Employers independently decide who is interviewed, selected and hired, so employment and compensation are not guaranteed.
You can continue using your completed labs, projects, capstone evidence, certification preparation and career-readiness work. The team may provide suitable portfolio, assessment, interview and opportunity-sharing support under the applicable programme terms, but later allocation is not promised.
Choose a track, share your contact details and explain your goals. You will review the prepared enquiry before completing the required final Send action in WhatsApp.
Compare the work, prerequisites and preparation pathway—or speak with EduMonk before deciding.