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.
The training helped me move from my academic foundation into cloud-based machine learning concepts, practical workflows and focused certification preparation. Earning a globally recognised professional certificate became the highlight of the journey and gave me confidence that I could take on a demanding technical goal.
After clearing the exam, I received an internship opportunity through the programme. The knowledge I built during training will be valuable throughout my career, and the combination of certification preparation and practical exposure has given me a much clearer direction for what comes next.
Nanapuram Vasanthi's
machine learning journey.
Coming 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.
From a BCA degree
to a global ML credential.
Vasanthi entered the programme as a trainee with a BCA degree background and a goal to build professional machine learning capability. She passed the Google Cloud Professional Machine Learning Engineer examination and received an internship opportunity through the programme—turning focused preparation into a defining early-career milestone.
A preparation system built around feedback and practice.
BCA-to-cloud bridge
The learning path connected Vasanthi's undergraduate foundation with the cloud, data and machine learning concepts expected in a professional certification.
Structured trainee journey
A clear sequence of learning, practice and review helped her approach a demanding professional-level goal one milestone at a time.
Applied ML practice
Hands-on work helped turn model development, evaluation, deployment and responsible AI concepts into usable technical knowledge.
Exam preparation discipline
Focused revision and certification-aligned practice helped her identify gaps, build confidence and prepare for the official examination.
Certification-to-opportunity
After passing the exam, she received an internship opportunity through the programme and a path to continue applying what she learned.
Four milestones from
learning to opportunity.
A closer look at how focused preparation became a certification result and then an opportunity to practise in a professional environment.
A bigger technical goal
Vasanthi began with a BCA degree and the ambition to build credible, professional machine learning capability.
Cloud ML skills take shape
Structured learning and applied practice helped her connect academic concepts with Google Cloud machine learning workflows.
A global credential earned
Passing the Professional Machine Learning Engineer exam became a defining personal and professional achievement.
An internship pathway opens
The programme connected her certification milestone with an internship opportunity and continued practical learning.
Certification was a milestone.
Learning remained the method.
“After clearing the exam, I received an internship opportunity through the programme. The knowledge I built during training will be valuable throughout my career, and the combination of certification preparation and practical exposure has given me a much clearer direction for what comes next.”
Build your own preparation plan.
Review the curriculum, official exam-domain alignment, labs, projects and eligibility conditions before deciding whether this professional pathway fits your goals.
This story describes Nanapuram Vasanthi's individual experience. Certification results, timelines, internship selection and career outcomes vary by learner and are not guaranteed. Google administers and awards its professional certifications. The EduMonk programme is delivered by PRAGYASHAL, a Google Cloud Partner.