Scipy provides best FullStack AI Training in Trivandrum, Kerala with 100% Job Placement assurance. Get trained from industry Specialists & start your IT career.
📅 6 Months🏆 100% Placement assistance
🏆 100% Placement assistance
Duration6 Months
Season Duration2Hrs/Day
Class ScheduleMonday to Friday
ModeOnline/Offline
Enrolled844+
Language & Tools15+
OverviewModuleApply NowReview
What you'll learn
This immersive program is designed to transform learners into proficient Full Stack AI Developers by
combining modern web development skills with the power of artificial intelligence and machine learning. The course progresses
from foundational programming and web development to building and deploying advanced AI-powered applications using industry-
standard tools and frameworks. Students will gain hands-on experience with Python, Flask, React, SQL, REST APIs, machine learning,
deep learning (TensorFlow, Keras, PyTorch), NLP, computer vision, and Generative AI. The curriculum also introduces MLOps practices
and deployment strategies on platforms like Render, Heroku, and AWS. With guided capstone projects and career preparation
modules, this program ensures you graduate with a job-ready portfolio.
Comprehensive Curriculum
Hands-on Learning
Interview Preparation
Networking Opportunities
Assignments & Quizzes
Internship Report & Evaluation
Mid-term & Final Exams
Certification upon Completion
Python Fundamentals
Build a strong foundation in Python and front-end development
Data types, control structures, functions, OOP
File handling, exception handling
Modules, packages, virtual environments
Working with JSON, APIs
Frontend Development
Build a strong foundation in Python and front-end development
HTML5, CSS3, JavaScript (ES6)
Responsive design with Bootstrap
DOM manipulation
Backend
Build full-stack applications with database and APIs
Flask routing, templates (Jinja2), blueprints
Form handling and validation
Authentication (Login/Signup)
Database
Build full-stack applications with database and APIs
SQL (PostgreSQL/MySQL)
SQLAlchemy ORM
CRUD operations with DB
REST APIs
Build full-stack applications with database and APIs
Creating and consuming REST APIs
JWT-based authentication
Testing with Postman
ML Basics
Learn foundational AI/ML skills to integrate into apps
Supervised vs. Unsupervised Learning
Algorithms: Linear Regression, Decision Tree, SVM, KNN, Clustering
Evaluation metrics (accuracy, confusion matrix, F1 score)
Feature engineering
Libraries
Learn foundational AI/ML skills to integrate into apps
NumPy, Pandas, Matplotlib, Seaborn
Scikit-learn
Mini Project
Learn foundational AI/ML skills to integrate into apps
Build and deploy a simple ML model (e.g., Loan Prediction)
Deep Learning Foundations (Keras, TensorFlow & PyTorch)
: Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
ANN, CNN, RNN: concepts and implementation in both frameworks
Model training, tuning, and evaluation
Cross-framework understanding: Keras vs PyTorch hands-on comparison
Building text and image-based models
Computer Vision
Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
CNNs for image classification (e.g., MNIST, CIFAR-10)
Image augmentation, preprocessing with OpenCV
Object Detection
YOLOv5 (PyTorch), SSD/Faster R-CNN (TF)
Real-time webcam detection with OpenCV
Transfer learning using pre-trained CV models
Natural Language Processing (NLP)
Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
Text preprocessing: tokenization, cleaning, vectorization
Transformers overview (BERT, GPT) and Hugging Face usage
Sentiment analysis, text classification projects
Basics of Generative AI (GenAI)
Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
Use cases in text, image, audio generation
Transformers, BERT, GPT (architecture overview)
Hands-on with ChatGPT or Hugging Face Transformers
Text generation with GPT-2 (PyTorch or TF)
Brief on Diffusion Models and Image Generation (DALL·E, MidJourney overview)
Tools: Google Colab, Hugging Face, OpenAI API (if available)
AI Model Integration
Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
Saving/loading models with Pickle, Joblib, .h5, or PyTorch .pt
Creating REST APIs using Flask or FastAPI
Frontend Integration: HTML/JS or Streamlit-based UI for predictions
Deploying locally and demoing end-to-end pipelines
Mini Project Ideas (Choose One for Capstone)
Build and deploy Deep Learning models using TensorFlow/Keras and PyTorch,
covering NLP, Computer Vision, Object Detection, and an introduction to Generative AI
(GenAI).
Project
AI Dashboard
Build modern frontend and explore basic model deployment strategies
Frontend dashboard with dynamic model output
Charts with Chart.js or Recharts
Model inference results visualization
MLOps Basics
Build modern frontend and explore basic model deployment strategies
Model versioning
GitHub Actions basics
Docker introduction
Final Projects
: Build and deploy real-world Full Stack AI apps
AI Resume Parser Web App
Fake News Detection Dashboard
Personal Health Risk Prediction App
Chatbot with AI response generation
Computer Vision AI App (object detection, classification)
Good experience and faculties are so supportive and friendly
– Emilin Thomas
★★★★★
I have done my internship for Python - Forcasting and It was a good experience for me. They are very supportive and available at any time. Also help us to complete my internship successfully.
– Devika V P
★★★★★
I thoroughly enjoyed my course with Machine Learning Internship at Scipy Technologies. The hands-on experience with cutting-edge projects enhanced my practical skills. The supportive team and collaborative environment fostered continuous learning, making it a rewarding experience. Scipy Technologies truly values professional growth, making it an excellent choice for anyone aspiring to excel in the field of machine learning.
– Eldho Elias Zachariah
★★★★★
Awesome 😎 very helpful to visit and gain more knowledge about the technologied
– Santhosh Sanjay
Top Performer Award
ABC Institute • 2023
Excellence in Leadership
XYZ Organization • 2022
Technical Achievement
Tech Foundation • 2021
Our Achievements
Recognized Excellence in Education
We take pride in our outstanding accomplishments and the recognition we've received from prestigious institutions. Our commitment to excellence has been consistently acknowledged through various awards and certifications.
Accredited by international education bodies
Recognized for innovative teaching methodologies
Award-winning faculty members
Consistently high student satisfaction ratings
These achievements reflect our dedication to providing world-class education and fostering an environment where both students and faculty can thrive.
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