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(2,095 ratings) 50,000+ Student

AI FULLSTACK

The AI Full Stack Training Syllabus is a comprehensive, job-focused program that covers the complete lifecycle of building intelligent applications, combining AI, data engineering, MLOps, and full-stack development. It explains how to design, develop, deploy, and manage AI-powered solutions using real-world projects and enterprise scenarios. This training is important because modern businesses require professionals who can work across both development and AI domains to build scalable, data-driven applications. It is ideal for developers, data engineers, AI enthusiasts, and IT professionals who want to build end-to-end expertise in advanced, industry-ready technologies.

Radical Technologies

50,000+ English 80 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

AI FULLSTACK

IT Training Programme

Duration 80 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

17 sections covering the complete curriculum — a single, progressive learning arc.

80 hours

Training Duration

Core Modules

172

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a AI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

17 sections • 172 lessons • 80 hours

Jump to Section

Total Duration

80 hours

100% Practical · Unlimited Doubt Sessions

01 Module 1 – Programming Foundations with Python

Topics

Python installation and environment setup

Python syntax and variables

Data types and operators

Conditional statements

Loops

Functions

Exception handling

File handling

Python modules and packages

Virtual environments

Labs

Build a command-line calculator

File log analyzer

System monitoring script

Assignments

›Develop a server log analyzer
›Create a system resource monitoring script

Job-Oriented Scenario

›Automate Linux server monitoring using Python scripts.

02 Module 2 – Data Structures & Algorithms for AI

Topics

Lists, tuples, sets, dictionaries

Stack, queue

Linked lists

Sorting algorithms

Searching algorithms

Time complexity

Assignment

›Build a task scheduler using queue data structure

Enterprise Case Study

Designing scalable data pipelines using optimized algorithms.

03 Module 3 – Data Analysis & Visualization

Tools

Python

Pandas

NumPy

Matplotlib

Seaborn

Topics

Data cleaning

Data transformation

Feature engineering

Data visualization

Labs

Sales data analysis dashboard

Customer segmentation dataset

Assignment

›Perform retail sales data analysis

Case Study

Predict customer churn in telecom company

04 Module 4 – Statistics & Mathematics for AI

Topics

Probability

Linear algebra basics

Hypothesis testing

Normal distribution

Correlation and regression

Assignment

›Build a fraud detection statistical model

05 Module 5 – Machine Learning Fundamentals

Tools

Python

Scikit-learn

Topics

Supervised learning

Unsupervised learning

Regression

Classification

Clustering

Model evaluation

Labs

House price prediction

Spam email classification

Customer segmentation

Assignment

›Predict employee attrition using ML model.
›

06 Module 6 – Deep Learning

Tools

TensorFlow

PyTorch

Topics

Neural networks

Activation functions

CNN

RNN

LSTM

Transfer learning

Labs

Image classification

Handwritten digit recognition

Assignment

›Build an AI model to detect product defects in manufacturing images

07 Module 7 – Natural Language Processing (NLP)

Topics

Text preprocessing

Tokenization

Word embeddings

Sentiment analysis

Named entity recognition

Tools

spaCy

NLTK

Labs

Customer feedback sentiment analysis

Chatbot NLP pipeline

Assignment

›Build an AI resume screening tool

08 Module 8 – Generative AI & LLM Applications

Topics

Introduction to Large Language Models

Prompt engineering

Retrieval Augmented Generation

Vector databases

AI agents

Tools

LangChain

OpenAI API

Hugging Face

Labs

AI chatbot

AI document summarizer

Knowledge base assistant

Assignment

›Build a company policy AI assistant

Enterprise Case Study

AI customer support chatbot for enterprise IT service desk.

09 Module 9 – Backend Development for AI Applications

Tools

Python

FastAPI

Flask

Topics

REST API development

Model deployment APIs

Authentication

Microservices architecture

Labs

Deploy ML model as API

Build AI prediction service

Assignment

›Create an AI fraud detection API

10 Module 10 – Frontend Development for AI Applications

Tools

HTML

CSS

JavaScript

React

Topics

UI design for AI apps

API integration

Dashboard development

Labs

AI prediction dashboard

Chatbot UI

Assignment

›Build AI-powered analytics dashboard

11 Module 11 – Databases for AI Systems

Tools

MySQL

MongoDB

Vector databases

Topics

Data storage for AI

NoSQL vs SQL

Query optimization

Assignment

›Store ML predictions and analytics data

12 Module 12 – MLOps & AI Deployment

Tools

Docker

Kubernetes

Jenkins

MLflow

Topics

Model versioning

CI/CD pipelines for ML

Containerized deployment

Model monitoring

Labs

Deploy ML pipeline

Build CI/CD for ML models

Enterprise Case Study

Deploying AI fraud detection system in production.

13 Module 13 – Cloud AI Deployment

Platforms

Amazon Web Services

Google Cloud

Microsoft Azure

Topics

Cloud AI services

GPU deployment

Scalable ML systems

Assignment

›Deploy AI chatbot on cloud infrastructure.

14 Module 14 – Security & Responsible AI

Topics

AI security

Data privacy

Ethical AI

Model bias detection

Case Study

Responsible AI governance in banking sector.

15 Capstone Projects (Enterprise Level)

Project 1 – AI Customer Support Chatbot

Features:

NLP chatbot

Knowledge base search

Customer ticket classification

Project 2 – AI Fraud Detection System

Features:

ML fraud prediction

Real-time API detection

Dashboard analytics

Project 3 – AI Resume Screening System

Features:

NLP resume parsing

Candidate ranking

HR dashboard

Project 4 – AI Document Intelligence System

Features:

Document classification

Entity extraction

Searchable knowledge base

16 Job-Oriented Scenarios

Deploy ML model to production with Docker.

Monitor model drift in real-time.

Design scalable AI API architecture.

Integrate AI model with enterprise CRM.

Build AI analytics dashboard for management.

Implement CI/CD pipeline for ML models.

Optimize AI model performance in cloud infrastructure.

17 Final Outcome – Job Roles

After this training learners can apply for roles like:

AI Engineer

Machine Learning Engineer

AI Full Stack Developer

MLOps Engineer

Data Scientist

Generative AI Developer

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

172+

Hands-On Lessons

Core Modules

80 hours

Training Duration

100%

Practical Training

You don't just learn AI FULLSTACK. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.