Saivvion Learning

AI Engineer Bootcamp

Join a live AI Engineer Bootcamp — from Python basics to production multi-agent systems. An 8-week, shipping-first cohort built for real AI engineering outcomes, not slide-only theory.

8

Sprints

8+

Portfolio Builds

30+

Tools & Frameworks

100%

Hands-On Learning

Live cohort formatPortfolio-first learning
  • Designed for professionals breaking into AI engineering with a shipping-first curriculum
  • 8 live sprints from Python foundations to production multi-agent systems
  • Portfolio builds, code review, and mentor feedback every week

Master 30+ tools and tech

  • LangChain
  • FastAPI
  • OpenAI
  • Docker
  • CrewAI
  • Pinecone
  • LangGraph
  • RAG
  • +22 more

Request a free callback to know more

Where are you today? *

Social proof

What learners say

Real feedback from live sessions, mentorship calls, and cohort instruction, including guidance from instructors who teach this bootcamp.

Instructor
Arpit's expertise extends beyond just coding. He emphasized best practices, code organization, and efficient problem-solving strategies. His real-world experience and knowledge of industry standards equipped me with the skills and confidence needed to tackle challenging projects.
Muhammad Shahzaib Shafiq
Career outcome
He feels like a big brother to me. With his guidance I moved from a service-based company to a product-based one with a 300% hike. Thank you for the valuable insights and for guiding me through tough times. I am always grateful.
Ayush Agrawal
Career guidance
It was a really insightful and friendly session. I got clarity about my career path and what I should pursue to achieve my goals.
Souravh Pateriya
Career guidance
Thank you so much for giving me such a good explanation on managing time for interview preparation alongside work.
Harshita
Career guidance
Really guided me on what I could do for my career break.
Md Akhlakur Rahman
Mentorship
The mentor was polite and gave me real clarity on my next steps.
Saivvion learner
Instructor
Arpit's expertise extends beyond just coding. He emphasized best practices, code organization, and efficient problem-solving strategies. His real-world experience and knowledge of industry standards equipped me with the skills and confidence needed to tackle challenging projects.
Muhammad Shahzaib Shafiq
Career outcome
He feels like a big brother to me. With his guidance I moved from a service-based company to a product-based one with a 300% hike. Thank you for the valuable insights and for guiding me through tough times. I am always grateful.
Ayush Agrawal
Career guidance
It was a really insightful and friendly session. I got clarity about my career path and what I should pursue to achieve my goals.
Souravh Pateriya
Career guidance
Thank you so much for giving me such a good explanation on managing time for interview preparation alongside work.
Harshita
Career guidance
Really guided me on what I could do for my career break.
Md Akhlakur Rahman
Mentorship
The mentor was polite and gave me real clarity on my next steps.
Saivvion learner

Program overview

About the bootcamp

This live AI Engineer Bootcamp is structured as 8 sequential sprints. Each sprint ends with a hands-on build that applies what you learned, so you graduate with real implementation depth, not only concepts. Exact project briefs are finalized and shared before your cohort starts.

Delivery mirrors real AI teams: live cohort sessions, iterative builds, code review, and production-oriented thinking.

Before you join

Prerequisites

  • Basic familiarity with any programming language (Python preferred)
  • A laptop with internet access
  • Curiosity and drive to build. This is project-first.
  • No prior AI/ML background required (Sprint 0 covers Python foundations)

By graduation

Learning outcomes

  • Build production-ready LLM apps and assistants
  • Design and evaluate robust RAG systems on real data
  • Deploy AI systems to cloud with Docker and FastAPI
  • Build autonomous agents with tools and memory
  • Architect multi-agent systems for complex workflows
  • Ship a live capstone AI product with portfolio-ready proof

Full curriculum (8 sprints)

Each sprint focuses on a core theme and ends with a hands-on build that applies what you learned. Select a sprint to view the syllabus, tools covered, and practical deliverable. Exact project briefs are finalized and shared before your cohort starts.

Sprint 0Foundation

Python & Developer Foundations

What you will learn

  • Python fundamentals: data types, functions, loops, OOP
  • Working with APIs and JSON responses
  • Environment setup: VS Code, virtual environments, pip
  • Version control with Git & GitHub
  • Async programming and error handling
  • Reading and writing files, working with CSVs

Tools & frameworks

Python 3.11, VS Code, Git & GitHub, pip/venv, Jupyter Notebooks, Postman

Hands-on application

Apply Python fundamentals by building a small app that consumes live APIs and handles real data.

How delivery works

Program format

Format

Live cohort (online, instructor-led)

Duration

8 weeks (1 sprint per week)

Session frequency

2-3 live sessions per week

Session length

2 hours per session

Language

English

Certification

Certificate of Completion from Saivvion Learning

Included with cohort

What learners get

  • Access to all live sessions and session recordings
  • Sprint-by-sprint project briefs and starter code (shared at cohort start)
  • Private community access with peers and mentors
  • Code reviews and feedback on every build
  • Career guidance: resume, LinkedIn, and portfolio prep

Your instructors

Who teaches this cohort

Live sessions, project reviews, and career guidance come from Saivvion Learning's founding team. They ship AI in production and teach the same stack you will use in the bootcamp.

  • Arpit Bhushan Sharma

    Arpit Bhushan Sharma

    Manager, Airtel

    Leads production AI initiatives in telecom.

  • Pratyaksh Singh

    Pratyaksh Singh

    Founder, Saivvion AI

    Founded Saivvion Learning to train engineers on real AI delivery.

  • Shubham Pandey

    Shubham Pandey

    Senior AI Engineer, AppInventiv

    Builds and ships LLM products for enterprise clients.

FAQ

Frequently asked questions

Schedule, prerequisites, and what to expect from this live AI Engineer Bootcamp.

Who is the AI Engineer Bootcamp for?

Working software engineers, developers, and ambitious career switchers who want to ship production AI systems — LLM apps, RAG pipelines, agents, and portfolio-ready projects — not just watch tutorials.

How long is the bootcamp and what is the schedule?

The program runs 8 weeks with one sprint per week. Expect 2–3 live sessions per week, about 2 hours each, plus hands-on project work between sessions.

Do I need prior AI or machine learning experience?

No prior AI/ML background is required. Basic familiarity with any programming language helps — Python is preferred. Sprint 0 covers Python foundations for learners who need a refresher.

What will I build during the cohort?

Every sprint ends with a hands-on build: LLM chat apps, RAG systems, deployed APIs, autonomous agents, multi-agent workflows, and a capstone AI product you can demo in interviews.

Are sessions live or pre-recorded?

All core sessions are live and instructor-led. Recordings are available within 24 hours so you can revisit material, but live attendance is where you get Q&A, code review, and real-time feedback.

How do I enroll in the next cohort?

Choose your cohort on this page and complete secure checkout, or request a callback from our team if you have questions about fit, schedule, or EMI options via Razorpay.

Cohort plan

AI Engineer Bootcamp — July 2026 Cohort

Jun 30, 2026 - Aug 24, 2026

  • Access to all live sessions and session recordings
  • Sprint-by-sprint project briefs and starter code (shared at cohort start)
  • Private community access with peers and mentors
  • Code reviews and feedback on every build
  • Career guidance: resume, LinkedIn, and portfolio prep
₹24,999₹7,99968% off
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EMI options available at checkout

Final amount and payment methods are shown on Razorpay checkout.

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