AI FULL STACK

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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.

Duration of Training : 60 – 80 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation

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Overview

The Syllabus

Curriculum Designed by Experts

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.

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.

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

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

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.

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

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

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.

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

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

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

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.

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.

Module 14 – Security & Responsible AI

Topics
AI security
Data privacy
Ethical AI
Model bias detection
Case Study
Responsible AI governance in banking sector.

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

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.

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

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Why Radical Technologies

Live Online Training

Highly practical oriented training

Installation of Software On your System

24/7 Email and Phone Support

100% Placement Assistance until you get placed

Global Certification Preparation

Trainer Student Interactive Portal

Assignments and Projects Guided by Mentors

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches

80:20 Practical and Theory Ratio

Real-life Case Studies

Easy Coverup if you missed any sessions

PSI | Kryterion | Redhat Test Centers

Life Time Video Classroom Access ( coming soon )

Resume Preparations and Mock Interviews

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Self Paced Training

Self Paced Learning

Learn 300+ Courses at Your Own Time

50000+ Satisfied Learners

Course Completion Certificate

Practical Labs Available

Mentor Support Available

Doubt Clearing Session Available

Attend Our Virtual Job Fair

10% Discounted Global Certification

Course completion certificate and Global Certifications are part of our all Master Program

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Global Certification

Radical Technologies is the leading IT certification institute in Bangalore, offering a wide range of globally recognized certifications across various domains. With expert trainers and comprehensive course materials, it ensures that students gain in-depth knowledge and hands-on experience to excel in their careers. The institute’s certification programs are tailored to meet industry standards, helping professionals enhance their skillsets and boost their career prospects. From cloud technologies to data science, Radical Technologies covers it all, empowering individuals to stay ahead in the ever-evolving tech landscape. Achieve your professional goals with certifications that matter.

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Job Assistance
Interview Preparation
Profile Buliding

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 personalized 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. Join us and let your journey to a successful future begin with the right support.

At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.

At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.

Radical Learning Eco-System

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AI Full Stack Course Certification With Training In Bangalore

Q: 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.

Q: 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.

Q: 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

Q: 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

Q: 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.

Q: 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

Q: 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

Q: 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.

Q: 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

Q: 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

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