Next AI engineering cohorts start from TBA

Scholarships up to ₹15,000

AI engineering course banner covering online, offline, and self-paced learning options with projects and placement support

AI Engineering Course with Online, Offline & Self-Paced Options

Choose the AI engineering path that fits your schedule and learning style. Build LLM apps, RAG systems, AI agents, and interview-ready projects with flexible course formats.

  • LinkedIn Top 20 Startup 2023 Badge
  • Y Combinator Backed Badge
  • IIT Delhi Alumni Founded Badge
  • STUDENTS PLACED

  • HIGHEST SALARY

  • PARTNER COMPANIES

  • AVERAGE SALARY

Learn AI Engineering Course

Start with the AI engineering format that matches your schedule, city preference, and learning pace while following the same job-focused skill roadmap.

7 Months

AI Engineering

Course

  • JAVA
  • Spring Boot
  • SQL
  • MongoDB
  • JavaScript
  • LLM API
  • RAG
  • AI Agents
  • MCP

Build production-ready AI applications with LLMs, RAG pipelines, AI agents, and full-stack engineering foundations.

  • 19

    AI PROJECTS

  • Weekday/Weekend

    LIVE CLASSES

View Program

SCHOLARSHIP AVAILABLE

Have Doubts?

Connect with our expert team to get your questions answered about the course, career path, or placements.
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COURSE OVERVIEW

AI Engineer Course Overview

This AI engineering path is designed for learners comparing online, offline, and self-paced formats while still aiming for the same core outcomes: AI-native projects, strong engineering fundamentals, and job readiness.

AI + Development Skills

The course combines AI engineering, application development, and interview-focused engineering foundations.

  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • LLM Fine-Tuning
  • AI Agent Design
  • LangChain & LlamaIndex
  • Vector Databases (Pinecone, FAISS)
  • OpenAI / Gemini / Mistral APIs
  • Hugging Face Transformers
  • Full-Stack Development (JAVA or MERN)
  • REST API Design
  • DSA & System Design
  • Cloud Deployment (AWS / Docker)
  • SQL + NoSQL Databases
  • Git / GitHub

AI Tools & Frameworks

You will work with production-relevant tools used for LLM development, observability, deployment, and AI-native applications.

  • OpenAI API
  • LangChain
  • LlamaIndex
  • Hugging Face
  • Pinecone
  • FAISS
  • Ollama
  • Groq
  • Streamlit
  • FastAPI
  • LangSmith
  • VS Code AI Extensions
  • GitHub Copilot
  • Docker
  • AWS EC2 / S3 / Lambda

AI-Native Projects

Every featured project treats AI as the core product layer, not as an afterthought bolted onto a standard app.

AI Voice-Controlled Task Manager

OpenAI Whisper + GPT function calling

Build a task manager where voice commands become structured actions stored in the product database.

RAG-Powered Knowledge Base App

LangChain + Pinecone + GPT-4

Upload documents, index them into a vector store, and answer questions with grounded retrieval.

Autonomous AI Research Agent

LLM + web tools + memory

Create an agent that plans sub-tasks, searches the web, reads sources, and returns structured briefs.

AI-Powered E-Commerce Search

FAISS + sentence transformers

Implement semantic product search that understands intent beyond exact keyword matching.

LLM-Powered Code Review Assistant

Code LLMs + streaming API

Generate review comments, explain changes in plain English, and surface code-level issues automatically.

AI Customer Support Agent with Memory

LangChain + memory + GPT-4

Design a support assistant that remembers conversations, escalates appropriately, and learns from feedback.

Fine-Tuned Sentiment Classifier

Hugging Face + LoRA + PEFT

Fine-tune a transformer model on domain data and expose it as a production-ready API.

Multi-Modal AI Product Catalogue

Vision models + text generation

Generate titles, descriptions, tags, and SEO metadata from product images using multimodal AI.

Interview-Ready AI Roles

The programme targets AI engineering roles that value product development, systems thinking, and LLM application delivery.

AI Engineer

Average salary range in India

12-25 LPA

ML Engineer

Average salary range in India

14-30 LPA

Full Stack AI Developer

Average salary range in India

10-20 LPA

Prompt Engineer

Average salary range in India

8-18 LPA

LLM Application Developer

Average salary range in India

14-28 LPA

AI Product Engineer

Average salary range in India

12-22 LPA

Why Learn AI Engineering in 2025-26?

The demand for professionals who can build AI-powered applications and not just use AI tools has grown faster than almost any engineering skill in the last two years. Job postings for AI engineers and LLM application developers have increased by over 300% since 2023. Companies are not looking for data scientists alone; they need engineers who combine software development skills with the ability to architect, integrate, and deploy AI systems at scale.

An AI engineering course that covers LLMs, RAG pipelines, AI agents, vector databases, and full-stack deployment gives you a skill profile that is genuinely rare and highly compensated. AccioJob's programme is built around this gap.

01

Builders, Not Just Users

Millions of people use ChatGPT. Only a fraction can build a production-grade RAG system or an autonomous AI agent. This AI programming course closes that gap.

02

Search Demand is Exploding

The keyword AI engineering course has grown 83% year-over-year in India. AI engineer certification searches are up 127%. The market is signalling exactly what employers need and we built the curriculum to match.

03

Top Salaries, Fast

Our graduates land roles at AI-first companies and traditional tech firms building AI products. Average salary: 7.4 LPA. Highest: 41 LPA. With placement support baked into the course fee, your next role is the goal from day one.

Whether you choose live online classes, an offline cohort, or a self-paced path, the goal stays the same: build real AI products and become interview-ready for AI engineering roles.

Online, Offline, and Self-Paced AI Learning Options

Join live online batches, attend offline cohorts in select cities, or learn at your own pace while following the same AI engineering roadmap.

3

Learning Modes

Choose the format that matches your time, city preference, and learning style
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Mentorship and Doubt Support Across Every Path

Get guidance on prompt chains, RAG systems, AI APIs, and portfolio decisions whether you learn through live classes or self-paced revision.

4.9/5

Mentor Support

Receive concept clarity, project feedback, and interview guidance throughout the course journey
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Build AI, RAG, and Agent-Based Portfolio Projects

Work on hands-on projects that reflect real AI engineering workflows so your portfolio stays relevant regardless of course format.

10+

AI Projects

Portfolio-ready systems built around LLMs, agents, RAG, and multimodal workflows

Career Support for AI Engineering Roles

Prepare for AI engineering interviews with mock interviews, portfolio positioning, resume support, and role-specific guidance.

500+

Hiring Partners

Placement support is aligned to AI, software, and AI-product roles across partner companies
Alumni profile avatar - successful graduate representationHands-on coding icon - practical programming and development experience

Ace Your Placements & Land Dream AI Engineering Job

Become holistically prepared and confidently secure your dream tech job.

Build with the tools engineers ship with today.

You'll write code with Claude Code and Copilot, ship features that call OpenAI and Anthropic, and build agentic flows with Langchain — the same stack working engineers reach for.

Writing code

Code editors & assistants

Building AI features

AI APIs & frameworks

Your stack

Full-stack foundation

Shipping

Version, deploy, test

AI Engineering Course Curriculum Across JAVA and MERN Tracks

The first half builds DSA, system design, and full-stack skills. The second half focuses on LLMs, RAG, AI agents, fine-tuning, and production deployment.

What You'll Master

  • Variables, data types and type casting
  • Control flow: conditionals, loops and nested logic
  • Arrays, 2D arrays and ArrayList
  • Strings and sorting algorithms
  • Time and space complexity fundamentals
Outcome

Ship your first JAVA program and make a live LLM API call.

  • JAVA
  • LLM API
  • Prompt Engineering

AI Projects You'll Ship

AI-Powered Quiz Generator
AI Feature

Single API call: send topic to the model and receive JSON of MCQs. Students prompt-engineer the question format.

  • Variables
  • Arrays
  • Loops
  • Prompt Engineering
Smart Sorting Visualizer
AI Feature

AI generates plain-English commentary per algorithm step, reinforcing code logic and prompting basics.

  • Sorting
  • 2D Arrays
  • Time Complexity
  • LLM API

What You'll Master

  • Recursion on integers, arrays and strings
  • Merge sort and quick sort
  • Backtracking patterns
  • OOP: classes, inheritance and polymorphism
  • Linked lists and two-pointer technique
Outcome

Design multi-class systems and use AI as a real-time code reviewer.

  • JAVA OOP
  • LLM API
  • Multi-class AI Design

AI Projects You'll Ship

OOP-Based Chatbot Framework
AI Feature

AI handles NLU while students build multi-class dispatch and Linked List-based conversation history.

  • OOP
  • Linked List
  • Polymorphism
  • LLM NLU
AI Maze Solver
AI Feature

Pass a 2D grid state to the LLM as context and get next-move suggestions, introducing structured data passing.

  • Recursion
  • Backtracking
  • Structured Context
  • LLM

What You'll Master

  • Binary search on sorted datasets
  • Stacks and queues (LIFO/FIFO patterns)
  • HashMap and hashing strategies
  • Binary trees and tree traversal algorithms
Outcome

Build search engines and use AI as a structured data interpreter and query parser.

  • JAVA DSA
  • NL to Keyword Parser
  • AI Query Interpreter

AI Projects You'll Ship

Intelligent Document Search Engine
AI Feature

AI converts natural-language queries into keyword searches on your HashMap index using an NLP query-parsing pattern.

  • Hashing
  • Binary Search
  • NL Query Parser
  • LLM
AI Code Review Assistant
AI Feature

Serialize an expression tree and have AI return optimization suggestions using an AST-analysis pattern.

  • Binary Trees
  • Tree Traversal
  • AST Analysis
  • LLM Insights

What You'll Master

  • Graphs: BFS, DFS and shortest path (Greedy)
  • Sliding window and prefix sum patterns
  • BST operations
  • SQL and DBMS: schema design, joins and aggregation
  • OS and computer networking fundamentals
Outcome

Build graph-backed apps and integrate Text-to-SQL AI patterns in production.

  • BFS/DFS
  • SQL
  • Text-to-SQL AI
  • Multi-turn LLM

AI Projects You'll Ship

AI-Augmented Route Planner
AI Feature

After computing the optimal graph route, AI narrates the journey in natural language across multi-turn API calls.

  • BFS/DFS
  • Greedy
  • SQL
  • Multi-turn LLM
Database Q&A Bot
AI Feature

Text-to-SQL through AI: give the model your schema and get valid SQL back, then validate it against a real database.

  • SQL
  • DBMS
  • Text-to-SQL
  • AI Chatbot

What You'll Master

  • Spring MVC and IoC/DI (dependency injection)
  • REST API design and exception handling
  • JPA + Hibernate: ORM and entity relationships
  • Collections framework and multithreading
  • Git/GitHub workflows and pagination/search/sort
Outcome

Build production Spring Boot APIs with AI as a dedicated, injectable service layer.

  • Spring Boot
  • REST AI Endpoints
  • Async AI Processing
  • IOC/DI

AI Projects You'll Ship

AI-Enhanced LMS
AI Feature

Create `/ai/summarize-course` and `/ai/suggest-next` endpoints with an AI service bean injected via IoC.

  • Spring Boot
  • JPA
  • IOC/DI
  • AI Service Layer
Multithreaded AI Content Processor
AI Feature

Run parallel AI calls with thread-safe aggregation, rate limiting and retry logic to introduce async AI processing.

  • Multithreading
  • Async AI
  • Rate Limiting
  • Spring Batch

What You'll Master

  • Spring Security and JWT authentication
  • Role-based access control (RBAC)
  • Unit testing with JUnit and AI service mocking
  • MongoDB integration with Spring Data
  • Swagger API docs and email integration
Outcome

Secure AI endpoints with JWT and test AI-integrated code without burning API tokens.

  • Spring Security
  • JWT
  • JUnit AI Mocking
  • MongoDB

AI Projects You'll Ship

Secure AI-Powered BookMyShow Clone
Capstone
AI Feature

Implement RBAC AI access where users get seat recommendations and admins get revenue analytics while JUnit mocks the AI service.

  • JWT
  • RBAC
  • AI Endpoints
  • JUnit Mock
  • Swagger

What You'll Master

  • DOM manipulation and event-driven UI patterns
  • Async/Await, Promises and Fetch API
  • ReadableStream API for token-by-token rendering
  • JSON parsing and API orchestration
  • Google Sheets Clone (capstone project base)
Outcome

Build streaming AI UIs and tie the JAVA track into one full-stack AI application.

  • DOM Streaming
  • ReadableStream
  • Fetch API
  • Spring Boot REST

AI Projects You'll Ship

AI-Powered Google Sheets Extension
Capstone
AI Feature

Render streaming AI responses token by token via ReadableStream, mirroring the interaction pattern used in chat products.

  • DOM
  • Streaming AI
  • Async/Await
  • ReadableStream
Full-Stack AI Study Buddy
Capstone
AI Feature

Connect a JS frontend, Spring Boot REST APIs and the AI provider into one streamed end-to-end experience.

  • End-to-End AI
  • Spring Boot
  • LMS Data
  • Streaming

GenAI Sessions

Session 01

How LLMs Actually Work

Concepts

Session 02

Prompt Engineering — The Real Skill

Core Skill

Session 03

GPT API Deep Dive with JAVA

Hands-on

Session 04

OpenAI Assistants + Threads (JAVA SDK)

Hands-on

Session 05

DALL·E, Whisper and TTS via JAVA

Hands-on

Session 06

Fine-tuning + API Mastery

Optimization

Session 07

Claude API + Anthropic JAVA Integration

Claude

Session 08

Claude Code — Full Walkthrough

Claude

Session 09

Tool Use + MCP — Concepts

Architecture

Session 10

Build Your Own MCP Server in JAVA

Build

Session 11

Embeddings and Vector Databases (JAVA)

Core Concept

Session 12

RAG Pipeline in JAVA (Spring Boot)

Core Concept

Session 13

AI Agents and Agentic Workflows (LangChain4j)

Agents

Session 14

Running and Deploying Local Models

Local AI

AI Engineering Course available in 4 cities

Join an offline batch at one of our skill centres.

AI Engineering online vs offline batch

Same curriculum and placement support - pick the mode that fits your routine.

AI Engineering - Online Batch

₹75,000total fee

Starts as low as ₹5,000/month · 12-month no-cost EMI

ModeLive online classes
ScheduleFlexible, evening friendly
LocationAnywhere in India
CurriculumAI Engineering with Full Stack

Advantages

  • Learn from anywhere in India
  • Flexible timings
  • Lifetime recording access
  • Lower total fee

AI Engineering - Offline Batch

₹85,000total fee

Additional scholarships up to ₹15,000

ModeClassroom program
ScheduleFull-day, 6 days a week
LocationNoida, Pune, Hyderabad, Chennai
CurriculumAI Engineering with Full Stack

Advantages

  • Hands-on lab access
  • In-person peer learning
  • Direct faculty access
  • On-campus hiring drives

Learn from Practising AI Engineers

Learn from practising AI engineers who help you connect concepts, projects, and interview preparation across every learning format.

Over 500 Companies Hire from AccioJob

AccioJob hiring partners span AI-first startups, product companies, and engineering teams hiring for AI, software, and full-stack AI roles across multiple learning pathways.

and many more...

Hiring partner testimonial background - corporate executive testimonial showcaseVarghese Abraham - hiring partner and company executive sharing recruitment testimonial

We hired rockstar developers from AccioJob!

We had a great experience while hiring software developers from AccioJob. The candidates are enjoying high ownership in Converj - having sound fundamentals and first prinicpal thinking.

Co-founder

Ex HR Head

Hiring partner testimonial background - corporate executive testimonial showcaseKrishna Potnis - hiring partner and company executive sharing recruitment testimonial

AccioJob has become our exclusive off-campus partner for hiring entry-level developers

AccioJob is our biggest source for recruiting tech talent off-campus. Their assessment to selection ratio was unbelievable as compared to our campus placements. The best part is, the students are all-rounders and require little on-job training.

Sr. Director Engineering

Hiring partner testimonial background - corporate executive testimonial showcaseYogesh Lokhande - hiring partner and company executive sharing recruitment testimonial

PayGlocal today has the best engineers on board because of AccioJob

The value they add to a student's career and the company's hiring needs is unparalleled. It's become a ritual for us to ping AccioJob for new openings. Recommending them for their exceptional service!

Co-founder

Ex Sr. Director

AI Engineering Course Fees

Starts at ₹5,000 per month with 12-month no-cost EMI, scholarships up to ₹15,000, and full placement support included.

AI Engineering with MERN Full Stack

Starts As low as₹5,000/month
  • Lifetime Access to All Course Materials
  • Flexible 12-Month No-Cost EMI
  • End-to-End Placement Support
  • Dedicated 1:1 Mentorship & Doubt Solving
Additional Scholarships Up To ₹15,000
₹1,00,000₹75,000/-

In total (incl. of all taxes)

AI Engineer Certificate from Skill India - Medhavi Skills University

Graduates receive a recognised certificate that strengthens resumes, LinkedIn profiles, and hiring conversations, regardless of whether they complete the course online, offline, or through the self-paced track.

AccioJob & Skill India Medhavi Skills University certificate of completion

AI ENGINEERING COURSE FAQS

Frequently Asked Questions

Get direct answers about learning formats, curriculum, AI tools, certification, fees, scheduling, and placement support for AccioJob AI engineering courses.

An AI engineering course is a structured programme that teaches you how to design, build, and deploy AI-powered applications using large language models, machine learning tools, and modern software development frameworks. Unlike a data science course, an AI engineering course focuses on integrating AI into real products by building RAG pipelines, AI agents, LLM-powered APIs, and full-stack AI applications rather than training models from scratch.