Build job-ready skills, accelerate your career growth, and step into the tech world with confidence.
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Work on real data projects and build production-ready AI solutions, not just slide decks.
Learn from university professors and practitioners who’ve launched AI/ML products and taught at top institutions.
Master modern topics like Agentic AI, Generative AI, LLMOps, MLOps, Data Science, Machine Learning and deep learning, designed to meet current market demand.
Choose from five online bootcamp formats that fit your schedule, featuring live sessions and hands-on labs.
Build a strong portfolio with capstone projects, get interview prep, and receive career coaching to land your next role.
Access flexible payment plans or scholarships to make advanced AI education more accessible.
Learn directly from our senior engineers, AI leads, and university faculty shaping the industry at Google, Amazon, Meta, Microsoft, Caltech, UMass, and IITs.
Every module is reviewed by hiring managers and practitioners, so you only learn what’s relevant, current, and in demand.
No pre-recorded videos. Every session is live, hands-on, and fully interactive so you can ask, build, and solve in real time.
Learn by doing. Case studies, coding labs, and real projects help you build a portfolio that hiring teams trust.
Get personalized guidance from FAANG and Fortune 500 experts — including resume prep, interview coaching, and career roadmaps.
Train with globally certified instructors and earn credentials recognized and respected by top companies.
Connect with ambitious professionals, share opportunities, and stay inspired long after your course ends. Learn, grow, and keep your career moving forward.
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A bootcamp is a focused, fast-paced learning program that teaches practical, job-relevant skills through live classes, projects, and mentor-led guidance. It’s designed to help you learn faster and apply your knowledge immediately
Anyone who wants to upskill or pivot into tech. Beginners, working professionals, and recent graduates are all welcome, no advanced background required.
Yes. We start with the basics, build your foundation, and gradually move to advanced concepts. You’ll have mentors, live support, and guided assignments throughout.
Most tracks run 8–24 weeks, depending on the program. Sessions are designed to fit into the schedules of working professionals.
Yes, we provide career guidance, resume and LinkedIn reviews, mock interviews, and job-readiness training. While we don’t guarantee placements, we prepare you to present yourself confidently to employers.
You’ll build real, industry-style projects like ML models, GenAI apps, agent workflows, cloud pipelines, dashboards, and LLMOps automations. Your portfolio becomes evidence of your practical skills.
For most people, yes. Instead of figuring things out alone, you get a structured curriculum, expert instructors, peer learning, and direct feedback — saving months of confusion.
A degree covers theory. A bootcamp focuses on real-world, in-demand skills. Many learners use AgileFever to upgrade their skills quickly or shift careers with practical experience.
Most learners invest 6–10 hours weekly. The workload is balanced so working professionals can keep up comfortably.
You’ll learn tools actually used in the industry such as Python, TensorFlow, AWS, Docker, Kubernetes, GitHub Actions, LangChain, RAG pipelines, MLOps workflows, and more (varies by the program you choose).
Yes. Our programs are taught by certified experts, aligned with industry standards, and recognized by professionals and employers globally.
Yes. No pre-recorded videos. Every session is instructor-led with real-time doubt solving and interaction.
It’s challenging in a good way, enough to help you grow, but supported through step-by-step teaching, office hours, and mentor help.
Based on your chosen program, you may target roles like:
They give you hands-on skills, mentor access, and real project experience, in a fraction of the time it takes with degrees or scattered self-learning.