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Python IT Institute


All Job Seekers


Online and Classroom Sessions


Week Days and Week Ends

Duration :

30 to 45 days

Python Objectives

•Learn the core concepts of Python.
•Build and run your first application in Python.
•How to create an Python project from scratch.
•Learn how to structure a large-scale project using Python.
•Learn Python from Scratch with Demos and Practical examples.
•Python – Learn how to set up your Python script.
•Students will learn the core concept of making Real Life Project
•You will be able to do web development projects on your own.
•Learn Python with hands-on coding exercises. Take your Python Skill to the next level

pythonbootcampcourse Training Highlights

•Free Aptitude classes & Mock interviews
•Course has been framed by Industry experts
•Accessibility of adequate training resources
•We Provide the Course Certificate of completion
•Facility of Lab on cloud available (based on booking)
•Courseware that is curated to meet the global requirements
•Training time :  Week Day / Week End – Any Day Any Time – Students can come and study
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for Python

•Amazon Web Services Administration, Cloud Database Administration, Hadoop Bigdata Administration, Openstack Database Administration, Salesforce Database
•ETL Developer, Informatica MDM, SAP BO, SAP HANA, Oracle Apps Functional Finance, Finance Modules, 11i, R12, Oracle Apps, Oracle Apps DBA, EBusiness Suite
•Java, J2EE, Machine Learning, Image Processing, UI Design, UX Developer, C++, Python, Perl
•Python, Odoo, Openerp, Odoo 8, Open Erp, .Net, Java Jsp, Software Development, Android App, Ios App Developer, Android, IOS
•ux, ui, Python Developers, Qa Automation, sales, Ui Development, Ux Design, Software Development, Python, Qa Testing, Automation Testing


•Resources for This Mammoth Interactive Course
•Intro to Android Studio
•Intro and Topics List
•Downloading and Installing Android Studio
•Exploring Interface
•Setting up an Emulator and Running Project
•Intro to Java
•Intro to Language Basics
•Variable Types
•Operations on Variables
•Array and Lists
•Array and List Operations
•If and Switch Statements
•While Loops
•For Loops
•Functions Intro
•Parameters and Return Values
•Classes and Objects Intro
•Superclass and Subclasses
•Static Variables and Axis Modifiers
•Intro to App Development
•Intro To Android App Development
•Building Basic UI
•Connecting UI to Backend
•Implementing Backend and Tidying UI
•Intro to ML Concepts
•Intro to ML
•Pycharm Files – Mammoth Interactive
•Intro to Pycharm
•Source Code – Mammoth Interactive
•Downloading and Installing Pycharm and Python
•Exploring Pycharm
•Python Language Basics
•Intro to Variables
•Variables Operations and Conversions
•Collection Types
•Collections Operations
•Control Flow If Statements
•While and For Loops
•Classes and Objects
•Intro to Tensorflow
•Topics List
•Importing Tensorflow to Pycharm
•Constant Nodes and Sessions
•Variable Nodes
•Placeholder Nodes
•Operation nodes
•Loss, Optimizers, and Training
•Building a Linear Regression Model
•Source Files – Mammoth Interactive
•Machine Learning in Android Studio Projects
•Tensorflow Estimator
•Setting up Prebuilt Estimator Model
•Evaluating and Predicting with Prebuilt Model
•Building Custom Estimator Function
•Testing the Custom Estimator Function
•Intro to Android Machine Learning Model Import
•Intro and Demo
•Formatting and Saving the Model
•Saving the Optimized Graph File
•Starting Android Project
•Building the UI
•Implementing Inference Functionality
•Testing and Error Fixing
•Simple MNIST
•Topics List and Intro to MNIST Data
•Building Computational Graph
•Training and Testing the Model
•Saving and Freezing the Graph for Android Import
•Setting up Android Studio Project
•Loading Digit Images
•Formatting Image Data
•Making Prediction Using Model
•Displaying Results and Summary
•MNIST with Estimator
•Building Input Functions, Training, and Testing
•Predicting Using Our Model and Model Comparisons
•Build Scientific Analysis Apps
•Simple CIFAR10
•Exploring CIFAR 10 Dataset
•CIFAR 10 Android Fix
•Formatting Input Data
•Building the Model
•Freezing Graph and Training Model
•Setting up the Android Project
•Setting up UI
•Loading and Displaying Image
•Formatting Image Data for Model Input
•Predicting and Displaying Results
•Face Detection
•Tasks List
•Loading Face and Non Face Images
•Reformatting Input Data
•Building Model and Writing Train and Test Scripts
•Freezing Graph and Training and Testing Model
•Setting up Android Project
•Loading and Display Images
•Formatting Data and Running Inference
•Emotions Detection
•Loading and Formatting Data
•Building Train and Test Data Sets
•Building Train, Test, and Prediction Functions
•Importing and Displaying Images
•Convert Images and Running Inference
•Increase Efficiency of Machine Learning Models
•Intro to Tensorflow Lite
•Text Summarizer
•Exploring How Model Is Built
•Exploring Training and Summarizing Mechanisms
•Exploring Training and Summarizing Code
•Testing the Model
•Text Summarizer Pycharm – Mammoth Interactive
•Object Localization
•Examining Project Code
•Testing with a Mobile Device
•Object Recognition
•Examining Code
•Testing on Mobile Device
•Advanced MNIST
•Building Neuron Functions
•Building the Convolutional Layers
•Building Dense, Dropout, and Readout Layers
•Writing Loss and Optimizer Functions and Training and Testing
•Optimizing Saved Graph
•Load and Display Digit Images
•Formatting Model Input
•Basic Operations
•Nullable Variables
•Collections Intro
•Mutable Lists and Arrays
•If Statements and Expressions
•When Statements and Expressions
•For In Loops
•Functions with Parameters and Return Values
•Classes and Objects Introductions
•Subclassing and Superclassing
•Intro to Kotlin
•Building an App
•Building the Layout Pages
•Connecting UI Elements to Activities
•List Behavior
•Intro and Building Custom Item View
•Building Custom Adapter
•Replacing Strings With Custom Todo Objects
•Interactivity and Database
•On Click Listeners
•Writing Database Schema
•Database Functions
•Implementing Database Functions
•Calling Database Functions
•Extra Features
•Adding Layout Modifications
•Displaying Todays Part Items Lists
•Source Code
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