Learn What Matters
We are a software and learning-focused company that believes the best way to learn is by doing. With every course, you get the opportunity to gain industry-grade internship experience and work on the skills that companies actually look for. We help you fill the gaps between knowing a subject and being ready for a job.
- Learn live, so you can ask questions whenever you're stuck.
- Work on real projects - not just assignments you forget after the course ends.
- Get internship experience before you start applying for jobs.
- Build a CV and portfolio using the work you've actually done.
- Face 3 mock interviews, so the real interview feels less unfamiliar.
Next cohort starts soon—apply now to reserve your seat, unlock the starter kit, and claim early‑bird pricing.
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Job Oriented Program
Applied GenAI Engineering Career Accelerator
Production Reliability & Support Engineering Career Accelerator
What Our Alumni Say
Hear directly from our successful graduates about their transformative learning experiences and career growth.
Why Choose Neural Roots?
At Neural Roots, we are committed to providing an unparalleled learning experience that empowers you to excel in the tech industry. Here's what sets us apart:
Real-World Industry Internships
Gain invaluable practical experience through our exclusive, industry-led internship programs, connecting you directly with leading companies.
Pioneering AI Research & Development
Contribute to groundbreaking advancements in artificial intelligence through dedicated R&D initiatives and cutting-edge projects.
Dedicated Career Placement & Support
Benefit from personalized job search assistance, interview preparation, and networking opportunities, ensuring your successful transition into the industry.
Guidance from Elite Industry Mentors
Learn directly from top-tier professionals and thought leaders who provide personalized mentorship and insights into industry best practices.
Build a Portfolio of Impactful Projects
Work on high-impact, real-world projects that showcase your skills, solve complex problems, and stand out to potential employers.
Program Certifications
Upon successful completion of the program, you will receive industry-recognized certifications that validate your expertise and enhance your career prospects.
Internship Completion Certificate
Official certificate recognizing successful completion of the internship program with hands-on industry experience.
Project Completion Certificate
Certificate acknowledging successful completion of capstone projects and practical assignments.
Letter of Recommendation
Professional recommendation letter from industry mentors highlighting your skills and achievements.
Certificate Verification & Credibility
From Our Journal
Insights, guides, and stories from the Neural Roots team.
How has GraphRAG changed traditional information retrieval?
GraphRAG is what you get when you smash together two things we've already talked about: knowledge graphs (the dots-and-lines map) and how AI answers questions using outside information instead of just its memory. The Problem It Solves Here's how regular RAG works. RAG stands for "Retrieval-Augmented Generation," which sounds complicated but really just means: "look stuff up before answering, instead of guessing from memory." When you ask an AI a question, instead of only relying on whatever i
Engineer's Guide to Building a Knowledge Graph with Neo4j
Meet Our Expert Mentors
Learn from industry leaders and innovators who are passionate about guiding your success.
Mahendra Patel
SAP Labs
Ankit Dubey
Mastercard
Prateek Sahu
Publicis Sapient
Shobhit Mishra
Omnicon
Frequently Asked Questions
Find quick answers to the most common questions about our programs and offerings.
This program is designed for students, freshers, working professionals, and developers who want to build practical skills in Generative AI. Whether you are preparing for your first AI role or looking to move into GenAI from another technical background, the program focuses on helping you learn by building.
This is a live online program. You'll attend live sessions where you can ask questions, discuss concepts, and get help when you're stuck. The focus is on learning with guidance rather than simply watching recorded videos on your own.
The internship is built into the learning journey rather than being a separate program after the course. You'll work through structured project sprints, take ownership of tasks, collaborate, solve problems, and present your work. The idea is to give you experience applying your skills in a more structured, project-based environment.
Yes. Building is a major part of the program. You'll work on projects and practical use cases where you apply what you learn. The goal is to help you build work that you can add to your portfolio and confidently discuss during interviews.
Apart from attending live sessions, you should be prepared to spend time practicing, completing assignments, and working on projects. The exact time can vary depending on your background and how quickly you learn, but consistent effort throughout the 20 weeks is important.
Getting stuck is part of learning, especially when you're building something new. You can ask questions during live sessions and get guidance from mentors. The goal is not to simply give you the answer, but to help you understand how to approach and solve the problem.
Yes. The program includes mentorship and guidance throughout your learning journey. You'll have opportunities to ask questions, discuss challenges, receive feedback on your work, and get support while working on projects.
Yes. You'll receive support in presenting your work and experience more effectively. This includes helping you organise your projects, strengthen your CV, improve your portfolio, and better communicate the skills you have developed.
The mock interviews are designed to help you practice before facing an actual interview. You'll get experience explaining your projects, talking about your technical decisions, and answering questions about the work you've done. You'll go through 3 mock interviews as part of the career preparation process.
Yes. The program is designed for learners who want to build practical GenAI skills, whether they are currently studying or already working. Before joining, we recommend checking the live session schedule and expected weekly commitment to make sure you can participate consistently.
You absolutely can learn a lot from free resources. The challenge is usually not finding content. It's knowing what to learn, in what order, what to build, and how to know whether you're doing it correctly. This program provides a structured learning path, live guidance, projects, feedback, internship experience, and career preparation in one journey.
If you want to move beyond watching tutorials and start building GenAI applications yourself, this program may be a good fit. If you're unsure, booking a demo or speaking with the team can help you understand the curriculum, expected commitment, prerequisites, and whether the program matches your current goals.