Zero To Full Stack AI, Gen AI,
Agents & ML

Learn Data Science, Python, ML, AI, Agents and
GenAI with Hands-On Training!

7-9 Months of Live Weekday Classes[Monday – Friday]

2-3 Months of Remote Internship(Optional)

No-Cost EMI Option Available

✅ Work on Real-Time Projects & Build Portfolio in Resume

✅ Get Internship/Experience Certificate

Life-Time Recording Access

✅ Weekly Doubt Classes

400+ Hours of SmartBoard Recording Content for Self-Study

Zero To Job-Ready Content on Data Science, Data Analytics, AI, ML, Gen AI

1-on-1 Personalised Interview Preparation, Mock Interviews, ATS Resume Customised for India, USA, UK, UAE and Australia

Corporate Clients

How does it work?

1

Get 1-on-1 Personalized Roadmap Based on Your Background

Speak with our Trainer and Get Detailed Roadmap and Plan to make successful career transition

2

Learn Through 3 Learning Modes

✅ Live Weekday Instructor Led
✅ Hybrid Mode of Learning
✅ Self-Study with Doubt Classes
✅ Corporate Trainings

3

Work on End-To-End
Real-Time Projects under BEPEC

Complete End-To-End Real-Time Projects and Build Portfolio on Data Science, AI, ML, Agents and Generative AI
Real-Time Projects Helps your Resume Get Shortlisted

4

Personalized Interview Preparation

✅ ATS Resume Building with Right Points in Resume
✅ Mock Interviews
✅ Cover Letter
✅ STAR Method Preparation for Interviews

Upcoming Live Class Batches

CourseLive Class TimingBatch Start Date
Full Stack Data Science Career Transition Program with InternshipLive Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings1746475200 5th May 2025 - 18th November 2025
Full Stack Data Analytics Career Transition Program with InternshipLive Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings1746475200 5th May 2025 - 31st August 2025
Artificial Intelligence Course: Job Transition with InternshipLive Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings1746648000 7th May 2025 - 5th January 2026
Data Engineer Career Transition Program with InternshipLive Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings1747080000 12th May 2025 - 1st September 2025

Contact us

Trustpilot Reviews!

“I have enrolled for the Data Science Career Transition Program through Bepec Kanth explains how to apply all the concepts in real world. Along with developing domain knowledge he is also helping to enhance our professional skills to face real world challenges as data scientist... What ? Why? Where ?.....3 words most important”

SREE SAI KONDLE

“First of all, I clearly got to know the role of DA/DS ,previously joined to one institute but i didnt get enough knowledge + no real time projects So, I joined here in oct batch everything is so perfect the way Kanth sir teaches and it is more like one should be consistent in learning. When it comes it support team they will always help u at ur queries will update about placement once i got placed.”

Harshini

“Hi I am grateful to Kanth and his team who worked very hard for career transition program into data science and AI field, the program was very smooth starting from the scratch to pro level. As I belong to mechanical field even I grabbed the insights very easily I think one must go for their program without any hesitations. I hope I would become principal data scientist one day. Thank you Kanth and his team”

Mayur Thakare

we’re here to all your questions

Many jobs in AI require a bachelor’s degree or higher. A degree in computer science, data science, artificial intelligence, mathematics, or a related field can be beneficial. However, some entry-level roles may only require an associate degree, certifications, or equivalent practical experience.

Data Science and Artificial Intelligence (AI) are closely related but serve different purposes.

  • Data Science focuses on extracting insights from data using statistical analysis, machine learning, and data visualization techniques. It involves data cleaning, processing, and interpreting trends to drive business decisions.
  • AI enables machines to simulate human intelligence, including learning, reasoning, and problem-solving. It encompasses fields like machine learning, deep learning, and natural language processing to automate tasks and improve decision-making.

Choosing between Data Science and AI depends on your career goals.

  • Data Science is ideal for those interested in working with large datasets, statistical analysis, and business intelligence. It offers roles such as Data Analyst, Data Engineer, and Data Scientist.
  • AI is a better fit for those who want to develop intelligent systems, work on automation, and build AI-powered applications. AI careers include Machine Learning Engineer, AI Researcher, and Deep Learning Engineer.

Ready to speak
with our Trainer?