Live, mentor-led training, real-world projects, and 100% placement that stays with you until you land a role you're proud of.
Knowledge opens the door. Practice, proof and the right people help you walk through it before the next opportunity passes.
Work live with practitioners from leading product teams and get direct feedback while your skills are still taking shape.
Inside every cohort
Mentors with experience on leading product teams
of live mentorship
Build a sharper resume, practise real interview rounds and access referrals with support that continues until you sign the offer.
hiring partners
Earn Microsoft-backed, NASSCOM-recognised credentials that are verified, shareable and ready for recruiters.
verifiable for life
Solve industry briefs in your domain and leave with portfolio work that shows employers exactly what you can do.
domain-specific projects
The roles shaping tomorrow are being filled today. Choose a focused path in data, AI or product, then master the tools, projects and interview skills your target role demands.
Updated for current hiring needs
36 portfolio-ready projects with mentor feedback
Turn raw data into business decisions with SQL, Excel, Power BI, Tableau and GenAI, then prove your ability through portfolio-ready work.
Get practical guidance from practitioners across Google, Microsoft, Apple, Uber and PayPal, grounded in the decisions, systems and trade-offs they handle every day.
Data Science & Analytics
Google, Amazon, Uber & Mu Sigma
AI Systems & Evaluation
Generative AI, evaluation & agent systems
Senior Product Manager
Product strategy & growth
Decision Scientist
Decision science & analytics
Product Analytics & Growth
Product strategy, analytics & growth
Product Leader
14+ years in product leadership
Data Science & MLOps
Data science, MLOps & model operations
Business Finance Analyst
13+ years in business finance
Data Scientist
7+ years in data science
Data Engineering & Platforms
Data engineering, streaming & platforms
They started with different backgrounds, the same doubts and one decision to move forward. Today, Interview Prep Edu learners work at Uber, Razorpay, Swiggy, TCS and more. Your next chapter can start here.
“The course took me from Python and statistics into machine learning, deep learning and GenAI without losing the practical thread. My forecasting capstone became the strongest part of my Atlassian interview.”
Aarav Mehta
“The business cases made me connect dashboards, forecasting and data storytelling to real decisions. GenAI-assisted analysis helped me move faster, but the mentors made sure I could defend every recommendation myself.”
Maya Thompson
“SQL, Excel and Power BI finally came together when I built an end-to-end operations dashboard. The GenAI workflow saved time during exploration, while weekly reviews taught me how to communicate the insight clearly.”
Daniel Kim
“I joined without a business background, but the structured cases made problem framing feel natural. Forecasting, dashboard design and mentor feedback gave me a portfolio I could explain confidently to Infosys.”
Sara Khan
“Building RAG applications, tool-using agents and evaluation pipelines made the course immediately useful. I left with a production-minded portfolio instead of a collection of prompt demos.”
Lucas Meyer
“Breaking complex initiatives into outcomes, dependencies and stakeholder decisions changed how I approached delivery. The AI-assisted planning exercises helped me move faster without handing judgement to the tool.”
Ananya Iyer
“My QA background helped with risk, but the course taught me integrated planning, governance and executive reporting. The recovery simulations gave me a much stronger story for moving into technical project leadership.”
Ethan Williams
“The portfolio projects turned SQL, Tableau and Power BI into skills I could demonstrate, not just list. I especially valued learning when GenAI accelerates analysis and when the underlying data still needs a human check.”
Meera Joshi
“I had experimented with LLM APIs before, but this course taught me to build reliable systems around them. RAG, agent workflows and evaluation became concrete through projects I could deploy and discuss.”
Sofia Martinez
“The course made SQL approachable without making the work easy. By combining Excel, Power BI and GenAI-assisted exploration in one project, I finally understood the complete analyst workflow.”
Pooja Reddy
“The forecasting and data-storytelling modules changed how I present recommendations to stakeholders. Mentor critiques were direct and practical, and my final case study became a strong interview talking point.”
Amara Okafor
“Every topic led to something I could build and explain, from Python and statistics to deep learning and GenAI. Repeated mentor reviews turned my capstone into work I was genuinely proud to show.”
Nikhil Sharma
“I had spent years reading reports without knowing how they were built. SQL, Power BI and mentor reviews helped me create an analytics portfolio that made my move into data feel credible, not accidental.”
Priya Desai
“The structured progression from Python to model evaluation gave me the discipline I was missing. My capstone became a complete system I could explain from the business problem through deployment choices.”
Kabir Malhotra
“I already understood stakeholders, but I needed a stronger delivery system. Charters, risk reviews and governance exercises helped me turn customer-facing experience into a convincing project leadership story.”
Grace Liu
“The cases taught me to move beyond reporting numbers and recommend an action. Forecasting, stakeholder storytelling and repeated mentor feedback changed the quality of every answer I gave in interviews.”
Rohan Kapoor
“I came in with frontend instincts and left understanding retrieval, tool use and evaluation. Building complete agent workflows gave me technical depth I could demonstrate instead of simply claiming an interest in AI.”
Elena Petrova
“I could already connect APIs, but I did not know how to make an AI workflow reliable. Retrieval, tool permissions and evaluation labs helped me build agent systems I could explain beyond the interface.”
Khushi Pandey
“The strongest shift was learning to test behaviour instead of trusting a polished demo. Traces, evaluation sets and failure reviews made my capstone feel like an engineering system rather than an experiment.”
Rahul Mehta
“My modelling background helped, but agent architecture was new. The course connected retrieval, state, tools and human review into one workflow I could deploy and defend in technical interviews.”
Sneha Iyer
“My finance background became an advantage once I could pair it with SQL, dashboards and clear product metrics. The project reviews helped me communicate insights with much more confidence and precision.”
Neha Verma
“My degree gave me theory, but the program taught me how to frame a problem, test a model and defend trade-offs. That practical confidence made a visible difference in technical interviews.”
Ibrahim Adeyemi
“I was already tracking tasks, but the course taught me to lead outcomes, dependencies and recovery decisions. The portfolio cases gave me a coherent story for moving from coordination into project ownership.”
Chloe Bennett
“The weekly SQL practice and dashboard critiques helped me replace guesswork with a repeatable analysis process. My education background became useful when I learned to present findings as a clear story.”
Divya Menon
“I was already solving operational problems, but I lacked the analytics vocabulary and portfolio to prove it. Forecasting cases and mentor reviews helped me turn that experience into a credible business analyst profile.”
Vikram Rao
“The AI transformation cases taught me to connect model risk, change adoption and measurable benefits. I could finally explain how I would govern delivery, not only document what a technical team had built.”
Marcus Johnson
“Stakeholder empathy was familiar, but integrated planning, portfolio trade-offs and benefits tracking were new territory. The programme helped me turn research experience into confident cross-functional delivery leadership.”
Yuki Tanaka
Sample previews. Learner details are added at issuance.
Recruiters decide quickly what deserves a second look. Pair your Interview Prep certificate with a Microsoft credential and make the work behind your skills visible before the interview begins.
What hiring teams see
A familiar Microsoft signal helps your profile stand out during a recruiter's first scan.
Your program certificate connects the credential to completed projects, your track and final distinction.
A clear credential record is easy to share when a recruiter or referral asks for proof.
When applications start to look alike, clear proof can be the difference between being skipped and being shortlisted.
You are preparing for a real role, not collecting another course certificate. Our network of 1,000+ hiring partners connects job-ready graduates with teams building in AI, data, cloud and engineering.
1,000+ hiring partners across 30+ countries, with new roles added every quarter in AI, data, cloud & engineering.
Free counselling gives you direction. Admission puts you on the right course. Guided learning, practical projects and mock interviews build the confidence to step into your dream career.
A free 1:1 counselling session maps your strengths, experience and dream role to the right path.
Free career counsellingJoin the right course, enter your cohort and get a clear learning roadmap from day one.
Cohort + learning accessLive classes, mentor support and role-specific projects turn new skills into visible proof.
40+ practical projectsRehearse real interview rounds, then improve with structured feedback on every response.
Actionable round-by-round feedbackTurn your preparation into the right opportunity with resume guidance, referrals and 100% placement.
100% placementNeed help?
No vague promises and no corporate filler. Get the facts you need to make a confident decision, then speak with us if you still need clarity.
Start with a free 1:1 counselling call. An Interview Prep advisor will map your background, strengths and target role to the best-fit track, so you can compare the learning path and career outcome before you enrol instead of guessing.
Many Interview Prep learners begin without a technical background. Programs build from the fundamentals step by step, and beginner-friendly tracks such as Data Analytics do not require prior coding experience. Consistent practice matters more than arriving with technical expertise.
Yes. Plan for around 8–10 hours each week. Live classes run during evenings and weekends, and sessions are recorded so you can revisit a lesson or catch up when work gets busy.
The learning is hands-on by design. You will build 35–45 domain-specific projects around realistic problems, receive feedback and practise explaining your decisions in mock interviews. You finish with work you can demonstrate to recruiters, not only a completion credential.
You are not expected to figure everything out alone. Live classes give you space to ask questions, while weekly 1:1 mentorship and project feedback help you correct gaps before they become blockers.
Eligible learners who complete the program receive 100% placement, including resume and LinkedIn preparation, mock interviews, referrals and continued opportunity guidance throughout the job search.
Learners who meet the completion requirements receive an Interview Prep certificate and the program-aligned credential described on the course page. The certificate supports your profile, while your reviewed projects, portfolio and ability to explain your work provide the stronger proof of job readiness.
Use the free counselling call to assess fit before you enrol. Review the curriculum, weekly commitment, expected projects, career support and target roles against your goals, then make the decision with clear expectations about both the work required and the support provided.
Your career deserves a plan
One honest conversation can turn uncertainty into a clear, practical path forward. Your first counselling call is free.