Morning (09:00 AM to 02:00 PM)
Sr. Title Content
1 Certificate in IT (CIT) ( Web, Graphics & Mobile App Development) HTML,CSS, Javascript, Bootstrap, jQuery, WordPress, MySQL, php, Android studio, Java, XML, APK, OOP, Mockups, Fragements, Activities, Web services, JSon, API, REST API URL, Adobe Photoshop, Adobe Illustrator, Vector Graphic, CorelDraw
2 Game Development and Modeling Unity Scripting, 2D, 3D Game Development, 3D Animations and 3D components, Game Cinematic &; unity timeline, Environment Designing and Optimization, Game AI/Unity Navmesh, VR/AR Games, UI Designing of games using Adobe illustrator, Game Designing (Game Mechanics, Game Story, Game economy)
3 3D Animation with realistic rendering 3D Max, Maya, Lumion, 3ds Max Interface, Scene Layout, Spline Modeling, Parametric Modeling with Modifiers, Polygon Modeling, Subdivision Surface Modeling, Freeform Modeling, Camera Techniques, Lighting Materials, Mapping Textures, Hierarchies, Refine NURBS Models, Model Polygonal Meshes, Keyframe Animation, Movies, Photos, and Panoramas, Rendering
4 Advance Python Programming & Applications Data Types, Statements and Expressions, Hard-Coding, Objects and Turtle Graphics, Modules, Methods on Lists, Non-Mutating Methods on String, Accumulator Pattern with Lists and Strings, Accumulator Pattern Strategies, OOP, Special (dunderscore) Methods, Operations, Methods, Accumulation, Django, Qwiklabs , Tensor Flow, Graph and Session, Visualizing a graph

Evening (4:00 PM to 9:00 PM)
Sr. Title Content
6 Computer Vision Image Enhancement and Filtering, Image Segmentation, Edge Detection and Image Restoration, Morphology and Feature Extraction, Deep Learning, CNN, 3D CNN, Sequential Networks, Recurrent Neural Networks (RNN) and Long Short Term Memory Networks (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning, Devising Real-time problem and solving with Deep Learning Technique, IOT with Deep Learning
7 Data Analytics Workflow of Data Analysis, Advanced SQL, Pandas & Numpy, Probability, Standardization & Sampling, Confidence Interval & Hypothesis Testing, Regression, Logistic Regression, Data Wrangling Cleaning and analyzing, Visualization, Bi-variate Exploration, Multi-variate Exploration
8 Artificial Intelligence (Machine Learning/ Deep Learning) Convolution Neural Network, Padding, Stride, Loss Function, Optimization, Pooling, Activation Function, Classification Network, Object Detection and localization, Fully Connected Layers, Data Pre-processing, Image segmentation, Image enhancement, Generative Adversarial Network. Supervised Learning, Unsupervised Learning