ENGINEERING STUDENT TRAINING PROGRAM
Learn with your degree course?
Our training program will complement your engineering course and prepare you for a great career when you complete your degree. Don’t wait till it is too late. Most of students commit this mistake and start training for software programming either in the last two semester or after their final exam of the last semester. It is too late by then to prepare yourself for a good career.
You must start early and ensure that you are a competent software programmer when you complete your degree. We have structured our training program so that it helps you in engineering course as well as meeting the demands of software industry so that they can hire you.
Our learning program helps you with excellent features
- Fully Interactive training
- Each session is recorded for reference in future
- Full source code for each session
- Help on demand
- Help in setting up development environment on your machine
- Mini and major project guidance
- Be part of real time projects while doing this course
- Individual Performance Tracking
- Weekly exams and individual feedbacks
- Help in building your own online portfolio like blogs
- Help in preparing for various certification programs in programming languages
The training program contains
- C and C++ programming
- Java
- Python
- Database programming
- Web development with Spring, Node, React
- Mobile application development – Android, Swift and React Native
- Machine learning, AI and Data Science
Should you join our course?
Don’t be late and start your career building process today. If you join our course, you will even your engineering papers much easier to master. We focus on practical programming and that helps you in understanding and mastering theoretical concepts.
Duration, Structure and Fee
The course structure depends on when you join the course and your college timings. Please discuss with us before you join. In general,
- For I Year Students: 1 hour per day x 3 days a week
- For IV Year Students: 2/4 hour per day x 5 days a week
- For II Year Students: 1 hour per day x 5 days a week
- For III Year Students: 2 hour per day x 5 days a week
Syllabus
Introduction to C
- Introduction to C
- Statements
- Arrays and Strings
- Pointers
- Derived types – Structures
- Sorting and Searching
Data Structures through C++
- Create and print linked list of integers; add, delete, modify items
- Create and print a doubly linked list of elements; add, delete, modify items
- Convert a given infix expression into its postfix equivalent
- Array, stacks, a double ended queue (abstract data type)
- Binary search tree of characters; Traverse tree recursively in preorder, in order and post order
- Use templates to search for a key element in a list of elements using linear and binary searches
- Insertion sort algorithm
- Template based selection sort and quick sort
- Heap sort algorithm
- Merge sort
- Functions of a dictionary (ADT) using hashing.
- Radix sort
- Create a binary search tree of integers and traverse non recursively in in order; search for an integer.
Data Science
- Vectors, Matrices, and Arrays
- Data Pre-Processing/Wrangling
- Handling Numerical Data
- Handling Categorical Data
- Handling Text
- Handling Dates and Times
- Handling Images
- Introduction to Data Visualizations and Statistical Data Analysis-Basic
- Statistical Inference & Relationship Between Variables
- Machine Learning for Data Science
- Unsupervised Learning
- Supervised Learning
- Artificial Neural Networks (ANN) and Deep Learning (DL)Loading Data
- Dimensionality Reduction Using Feature Extraction
- Dimensionality Reduction Using Feature Selection
- Model Evaluation
- Model Selection
- Linear Regression
- Trees and Forests
- K-Nearest Neighbours
- Logistic Regression
- Support Vector Machines
- Naive Bayes
- Clustering
- Neural Networks
- Saving and Loading Trained Models
Core Java
- Fundamental programming structures
- Object-oriented programming
- Interfaces and lambda expressions
- Inheritance and
- Inheritance, Packages, Interfaces and Reflection
- Exceptions, assertions, and logging
- Exception handling
- Concurrent programming and Multithreading
- Event Handling
- Collections
- Streams
- Processing input and output
- The date and time API
- Swing and JavaFX
Advanced Java
- The java se 8 stream library
- Generic programming
- Input and output
- Annotations
- Internationalization
- Compiling and scripting
- The java platform module system
- Xml
- Networking
- Database programming
- The date and time API
- Internationalization
- Scripting, compiling, and annotation processing
- Security
- Native methods
Python Basic
- Introduction to Python
- Python Objects
- Conditional Statements
- Looping
- Functions
- Iterations, Generators, and Comprehensions
- File Handling
- Strings
- Introduction to Object Oriented Paradigm
- Classes and Objects
- Inheritance
- Operator Overloading
- Exception Handling
- Introduction to Data Structures
- Stacks and Queues
- Linked Lists
- Binary Search Trees
- Introduction to MATPLOTLIB
- Introduction to Image Processing
Python Advanced
- Python Object and Data Structure Basics
- Python Comparison Operators
- Python Statements
- Methods and Functions
- Object Oriented Programming
- Modules and Packages
- Errors and Exceptions Handling
- Python Decorators
- Python Generators
- Final Capstone Python Project
- Advanced Python Modules
- Advanced Python Objects and Data Structures