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Frequently Asked Questions

Everything you need to know about our Data Science, AI, Gen AI & Agentic AI programs — answered clearly.

15+
Years of Excellence
9,000+
Students Trained
95%+
Career Success Rate
250+
Corporate Partners
⌕
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Fees & Value
Our course fee depends on the program you choose, as we offer multiple options — from a 7-day intensive leadership program to our comprehensive 6–8 month flagship program. We also provide flexible EMI options and convenient payment plans to support you. If you'd like, we can connect you with our admissions team who will explain the exact fee structure and EMI details based on the program that fits your goals.
The difference mainly comes from the depth, quality, and career outcomes we focus on. DV Analytics has 15+ years of excellence and a 95%+ career success rate. Our learners work on 15+ real-time industry projects, get mentorship from experienced IIT/IIM faculty, access to advanced LMS, industry mentorship, and full placement support through 250+ corporate connections. We focus on complete career transformation — not just training. That's why our students achieve strong salary outcomes, with freshers averaging around ₹8 LPA and experienced professionals reaching ₹23 LPA, depending on their background and performance.
DV Analytics has trained 9,000+ successful graduates and maintains a 95%+ career success rate with 250+ corporate partnerships. Our curriculum is designed on 4 Core Pillars covering end-to-end AI development — from programming fundamentals to cloud deployment. Along with 15+ real-time projects, you get access to our complete Career Transformation Ecosystem — resume building, mock interviews, mentorship, and direct job referrals. Many institutes focus only on tools. We focus on results and long-term career growth.
Since every learner's background is different, we recommend discussing this with our admissions counselor. They can understand your professional experience and suggest the most suitable program option for you. If there is any customized pathway available based on your requirement, they will definitely guide you.
For complete clarity regarding refund policies, satisfaction guarantees, and student protection terms, our admissions team will provide you with detailed information. We always maintain transparency, so you'll get a clear understanding before making any decision.
Our Industry Mentorship Program and placement assistance — including resume building, mock interviews, corporate networking, and job referrals — are core parts of our program. To give you full clarity on what's included in your selected program, our admissions team will explain everything in detail so there are no surprises later.
Our programs are structured as integrated learning journeys built on 4 Core Pillars. However, for advanced learners, we have specialized options such as our 2-month Master Program in Gen AI & Agentic AI or our 7-day Expert Leadership Program focusing on advanced concepts. We would suggest speaking with our admissions advisor so they can understand your current skill level and recommend the most suitable learning path.
Curriculum & Tools
We offer multiple program durations based on your career stage:
  • Flagship Advanced Program in Industrial Data Science with Gen AI & Agentic AI: 6–8 months
  • Data Analytics + AI and AIML with Gen AI: 4-month programs
  • Master Program in Gen AI & Agentic AI: 2 months (intensive weekends)
  • Expert Leadership Program for senior professionals: 7-day intensive
Based on your goals, we can help you choose the right one.
You'll learn SQL, Python, SAS, PySpark, Scala, along with Excel (with AI), Tableau, and Power BI. In AI, we cover LLMs, Prompt Engineering, RAG, Fine-Tuning, Multi-Agent Systems, MLOps, LLMOps, and AgentOps. We also train you on AWS, Azure, and GCP for cloud deployment. It's a complete end-to-end industry curriculum.
We provide live online and offline sessions led by experienced industry experts and IIT/IIM faculty. This ensures real-time interaction, doubt clarification, and practical learning.
For detailed information about recordings and make-up sessions, our admissions team or program coordinator will guide you clearly.
Yes. We offer both online and offline formats. We are headquartered in India and also have a presence in Dubai. For exact center locations, our admissions team will provide details.
Yes. After successful completion and meeting performance criteria, you'll receive DV Analytics' globally recognized certification aligned with industry standards. It validates that you are corporate-ready and skilled.
We provide access to our advanced LMS platform. For exact duration and post-completion access details, our admissions team will explain everything clearly.
For clarity about software licenses, tool subscriptions, and cloud credits during training, our admissions team will guide you based on your chosen program.
Our curriculum is continuously aligned with industry needs through 250+ corporate connections and expert faculty. We cover the latest in Generative AI, Agentic AI, Multi-Agent Systems, and cloud deployment practices.
Traditional Data Science focuses on data analysis and prediction models. Gen AI goes further — it creates new content using LLMs and advanced prompting. Agentic AI is the next level — building autonomous AI agents that can think, plan, and execute tasks. Our program covers the complete journey from foundations to advanced autonomous AI systems.
The 2-month Master Program is an intensive weekend program focused only on advanced Gen AI & Agentic AI topics. The 4-month programs include broader foundations like programming, data analysis, and visualization before moving into AI and Gen AI.
It's designed as an intensive track for learners who already have foundational knowledge. It focuses deeply on LLMs, Prompt Engineering, RAG, Agentic AI, Multi-Agent Systems, and deployment practices — with hands-on projects and mentorship.
Yes. Mathematical foundations are integrated within our Machine Learning and Deep Learning modules. For detailed syllabus breakdown, we can share the complete curriculum.
We cover Agentic AI foundations, Multi-Agent Systems, and AI Workflow Automation. For specific framework details like libraries used in hands-on sessions, we can share the detailed technical syllabus.
For pause policies or batch transfer options, please discuss your situation with our admissions counselor. We understand working professionals may need flexibility.
We have weekend-only programs, evening + weekend options, and even intensive 7-day formats for senior professionals. So you can balance your work and learning comfortably.
Yes. Model evaluation and production-level testing are covered under ML, Gen AI, and MLOps modules to ensure you can deploy reliable AI systems.
Yes. Through cloud deployment, MLOps, and real-time projects, you'll learn how to integrate AI solutions into enterprise systems.
Absolutely. You will work on 15+ real-time industry projects and learn cloud deployment practices. By the end of the program, you'll be able to build and deploy production-ready AI applications.
We are headquartered in India and have a strong presence in Dubai. For exact addresses and center visit scheduling, our admissions team will assist you.
Eligibility & Background Suitability
Absolutely. Our programs are designed for freshers, graduates, and even non-IT professionals. We start from the basics with SQL and Python under our foundational modules, so you don't need prior technical knowledge. We've trained 9,000+ learners over 15+ years, many from non-technical backgrounds, with a 95%+ career success rate.
Yes, definitely. We start from scratch with SQL and Python fundamentals. Along with that, we also teach Excel AI, Tableau, and Power BI — which are more user-friendly tools, especially helpful for career switchers. Our structured approach is designed to transform non-coders into confident AI professionals step by step.
Of course. We provide complete Python foundation training. With regular assignments, mentorship support, and structured learning through our LMS, you'll gradually build confidence. You won't be left alone at any stage.
Strong maths is helpful, but not mandatory to start. We gradually introduce mathematical concepts within Machine Learning and Deep Learning modules. Our structured learning and mentorship support make it manageable even for learners from diverse backgrounds.
You are actually an ideal candidate. Your SAP and accounting experience already gives you strong business understanding and analytical thinking. We will help you build technical skills in SQL and Python first, then gradually move you into AI and Data Science. Many professionals from banking, accounting, and business roles have successfully transitioned and achieved strong salary growth.
Based on your background and performance, you can target roles like Data Analyst, Business Intelligence Analyst, AI/ML Analyst, Gen AI Developer, Prompt Engineer, or domain-specific AI roles like Finance AI Analyst or Manufacturing AI Specialist. Your domain experience plus AI skills makes you very valuable.
For experienced professionals, Gen AI and Agentic AI are the next evolution. Learning LLMs, RAG, Multi-Agent Systems, and AI automation positions you for senior and high-demand roles. It's about upgrading to cutting-edge technologies and increasing your market value.
Rather than switching, think of it as upgrading. Gen AI and Agentic AI are expanding rapidly. Our 2-month weekend Master Program is designed exactly for professionals like you who want to upskill without leaving their job.
Your experience absolutely matters. We position you as an experienced professional with upgraded AI skills — not as a fresher. Your resume and portfolio will highlight both your previous experience and your new expertise.
We've trained 9,000+ students with a 95%+ career success rate. A significant portion of our learners come from non-technical backgrounds, and many have successfully transitioned into AI roles through our structured foundation-first approach.
With consistent effort, most learners start feeling comfortable within the first 2–3 months of foundation training. Depending on the program you choose, it can range from 4 to 8 months for full transformation.
Yes, definitely. We offer tool-based learning paths as well — like Excel AI, Tableau, Power BI, Prompt Engineering, and AI Workflow Automation. Roles like Prompt Engineer or AI Operations Specialist require more tool expertise and logical thinking than deep backend coding.
Our 95%+ career success rate shows that starting level does not decide your result — consistency does. If you complete assignments, projects, mentorship sessions, and prepare well for interviews, you absolutely have strong chances. We support you throughout the journey — but your commitment is the key.
Projects & Portfolio
Yes, absolutely. All our programs include 15+ real-time industry projects as a core part of the curriculum. These projects cover everything — from data engineering and visualization to Machine Learning, Gen AI, and even deploying production-ready Agentic AI solutions. These projects are also part of our certification and placement eligibility criteria, so you graduate with real practical experience — not just theory.
You will work on 15+ real-time industry projects. They are designed to give you hands-on exposure across the full AI development lifecycle — from handling data and building dashboards to developing ML models and deploying Gen AI systems on the cloud. These projects form the foundation of your professional portfolio.
By the end of the program, your portfolio can include:
  • SQL database design and optimization projects
  • Python-based automation and data analysis
  • Interactive dashboards using Tableau or Power BI
  • Machine Learning predictive models
  • Deep Learning applications
  • Gen AI solutions using LLMs, Prompt Engineering, and RAG
  • Agentic AI systems with Multi-Agent architecture
  • Cloud-deployed AI applications using MLOps/LLMOps
Our mentorship team will guide you in selecting and presenting the most impactful projects based on your target job role.
Yes, definitely. You won't just learn theory — you will build models from scratch and also deploy them. Our advanced modules cover Machine Learning, Deep Learning, Gen AI, and Agentic AI development. Then we train you on cloud deployment using AWS, Azure, or GCP along with MLOps and LLMOps practices. So you'll gain real production-level exposure.
Yes, portfolio building is a very important part of our program. Through 15+ real-time projects and guided mentorship, you'll build a strong, industry-ready portfolio. We also help you with resume and portfolio presentation so you can confidently showcase your work to recruiters and our 250+ corporate connections.
Placement & Career Outcomes
We provide complete placement assistance, not guaranteed placement. Our support includes resume building, portfolio development, mock interviews, corporate networking, and direct job referrals through 250+ partner companies. To qualify, students must complete 15+ projects and score 70%+ in tests and mock interviews. Our 95%+ career success rate shows that our placement-driven model works very effectively.
At the moment, we don't have a Pay After Placement structure in our standard model. However, we do offer flexible payment options and installment plans. Our admissions team can guide you on the available payment structures.
Yes. After successfully completing the program and meeting the required criteria, you will receive our industry-recognized certification. This validates your completion of 15+ real-time projects and mentorship training. For separate internship documentation details, our admissions team can clarify.
We maintain a 95%+ career success rate through structured placement support. If you meet all the Success Parameters, we continue supporting you with resume updates, interview preparation, and job referrals. We remain invested in your career growth.
On average, freshers achieve around ₹8 LPA. Experienced professionals transitioning into AI roles average around ₹23 LPA. Of course, individual results depend on your background, performance, and market conditions.
With your technical background, moving into Gen AI and Agentic AI can position you for senior AI/ML Engineer or Gen AI Specialist roles. While exact numbers depend on performance and market demand, experienced professionals in advanced AI roles often see significant salary growth. Our career counselors can give a more personalized projection based on your profile.
We have 250+ corporate connections across IT services, finance, consulting, product companies, and startups. While we cannot guarantee placement in a specific company, our placement ecosystem maximizes your opportunities across leading MNCs and high-growth organizations.
You can apply for roles such as:
  • Data Analyst
  • Data Scientist
  • AI/ML Engineer
  • Gen AI Developer
  • Prompt Engineer
  • LLM Engineer
  • Agentic AI Specialist
  • MLOps Engineer
  • Cloud AI Architect
Your eligibility depends on your background and chosen program.
You have both options. We can position you for domain-specific AI roles using your previous experience, or you can explore completely new industries. Our placement team helps align your resume based on your career goals.
To qualify for placement support, you must:
  • Attend classes regularly
  • Complete assignments
  • Finish 15+ real-time projects
  • Complete the mentorship program
  • Build a strong resume & portfolio
  • Score 70%+ in tests and mock interviews
This ensures you are truly job-ready before interviews.
The mentorship is integrated throughout your learning journey. For exact timing and structure, your program coordinator will provide detailed guidance.
No worries at all. You get up to 5 attempts. Between attempts, you'll receive feedback, coaching, and improvement support to help you confidently clear the next round.
The timeline varies based on your background, chosen program (2–8 months), and job market conditions. Once you complete the required criteria, placement support begins. Our structured approach ensures focused job search assistance.
Our entire model is placement-driven. With 15+ real-time projects, cloud deployment training, mentorship, mock interviews, and strict Success Parameters, we focus on practical job readiness. Our 95%+ success rate reflects that we prepare professionals for real employment — not just theoretical knowledge.
Trainers & Mentorship
Our training is delivered by experienced industry professionals who come from prestigious IIT and IIM academic backgrounds. They bring both strong academic foundations and real-world industry exposure. Classes are conducted live — both online and offline — so you get direct interaction, practical examples, and real-time doubt clarification.
Yes, absolutely. Our curriculum includes cloud deployment, MLOps, LLMOps, AgentOps, and scalable AI implementation — which requires real production-level expertise. Since our trainers are industry experts, they guide you not just on concepts but also on how AI solutions are actually built and deployed in enterprises.
We conduct structured batches to ensure quality learning. Along with regular classes, we have an Industry Mentorship Program where experts guide you during projects and interview preparation. If you ever feel stuck, you will receive support through mentorship, assignments, and structured guidance. For exact batch size details, our admissions team can share that with you.
The mentorship program helps you in multiple ways:
  • Guidance from experienced IIT/IIM industry mentors
  • Support during 15+ real-time projects
  • Structured mock interviews (with up to 5 attempts)
  • Resume and portfolio building
  • Test preparation similar to real company assessments
This ensures you build genuine confidence and interview readiness.
Yes, we understand that you may want real feedback. You can attend demo sessions or request to connect with alumni to understand their experience. With 9,000+ trained students and a strong success rate, many of our alumni are happy to share their journey.
We stand out because we focus on career transformation, not just training. With 15+ years of excellence, 9,000+ graduates, and a 95%+ career success rate, our model is placement-driven. We offer 15+ real-time projects, structured testing standards, IIT/IIM mentorship, cloud deployment training, and placement support through 250+ corporate connections. It's a complete ecosystem — not just a course.
Self-study is good, but it's often unstructured. Our graduates go through a complete curriculum across 4 pillars, complete 15+ real-time projects, pass structured assessments, and receive mentorship from industry experts. They build a professional portfolio and receive placement support. Employers recognize the difference between casual learning and certified, project-based, mentor-guided professional training.
Enrollment & General
At DV Analytics, many of our learners come with career gaps, and we specifically support them. Through our Career Transformation Ecosystem, we help you position your gap as a period of strategic upskilling and career transformation. When you complete 15+ real-time projects, clear structured assessments, and earn our industry-recognized certification, it clearly shows discipline, commitment, and job-ready skills. Employers focus more on your current capabilities and portfolio — not just the gap. And with our placement support and 95%+ success rate, many career-gap students have successfully transitioned.
Yes, of course. We understand that you would like to experience the learning quality before making a decision. You can request a demo session, orientation class, or curriculum preview through our admissions team. They will arrange the best possible option so you can make an informed and confident decision.
The enrollment process is very simple. Our admissions team will guide you step by step — from selecting the right program based on your background, explaining fee and payment options, confirming batch schedules (online/offline), completing documentation, and providing LMS access. We have multiple upcoming batches, so they'll help you choose the best starting date.
Depending on the program, it typically ranges between 12 to 16 hours per week. For example, our 2-month Master Program runs only on weekends. Some 4-month programs include one weekday evening plus weekends. Apart from class time, you'll need additional hours for assignments and projects. Most of our learners are working professionals, and they successfully balance both career and learning.