Online Internship: Python, Angular, And Machine Learning Foundations

Description

This online internship provides a strong foundation in Python, Angular, and Machine Learning. Learners gain hands-on experience in algorithms, backend development, front-end UI building, and basic predictive modeling. The program focuses on practical skills through guided projects, preparing participants for real-world full-stack and intelligent application development.

Course Details

Course Content:
This online internship covers foundational skills in Python programming, Angular front-end development, and core Machine Learning concepts. Learners begin with Python fundamentals including algorithms, data structures, functions, decision-making, and iteration. Angular lessons introduce environment setup, modules, routing, components, data binding, lifecycle hooks, directives, pipes, dependency injection, and basic RxJS concepts.
The Machine Learning portion focuses on learning paradigms, supervised and unsupervised methods, regression models, classification algorithms, evaluation metrics, training/testing, and bias–variance understanding..

Python Course Content:

• Algorithm and Building blocks of algorithms
• Notations
• Algorithm problem solving , Simple strategies for developing algorithm
• Python Interpreter and Interactive mode
• Values and Types
• Variable ,Expression ,Statements , Tuple assignment
• Precedence of operators , comments
• Modules and Function , Flow of execution
• Function prototypes ,Parameters and Arguments
• Boolean values
• Decision making statements
• Iteration
• Fruitful functions
• Strings and list as arrays
• Lists
• Tuples
• Dictionaries
• Advanced list processing

Angular Course Content

Angular is a modern front-end framework written in TypeScript and developed by Google. Initially launched as AngularJS (1.x) in 2009, it evolved into Angular (2.x and beyond) with a complete rewrite using TypeScript and advanced JavaScript.

Why Angular?

Angular is backed by Google and Microsoft (through TypeScript), making it highly reliable and widely supported. It features a moderate learning curve, especially for developers with experience in statically typed languages like Java or C++. With built-in support for forms, routing, animations, HTTP handling, and reactive programming, Angular is a one-stop solution for modern front-end development. Major platforms like YouTube, Gmail, Netflix, Walmart, and PayPal use Angular for their applications.

Course Content

1. Introduction
2. Local environment setup
3. Introduction to Annotation and its usages in Angular
4. Core concepts
   1. Angular Modules
   2. Routing & Navigation
   3. UI Declarations
      1. Component
         1. Data Binding
         2. Lifecycle hooks
         3. Component Interaction
      2. Directives
      3. Pipes
5. Dependency Injection in Angular
6. Introduction to RxJS
7. Demo

Machine Learning Modules

Introduction to Machine Learning

• What is Machine Learning

• Examples of different learning paradigms

• Perspectives and issues in ML

• Types of machine learning

  • Supervised learning

  • Unsupervised learning

  • Semi-supervised learning

• Decision boundaries: crisp and non-crisp

• Optimization problems

• Training and testing concepts

• Bias–variance tradeoff

Supervised Learning – Regression

• Introduction to regression analysis

• Simple linear regression

• Multiple linear regression

• Polynomial regression

• Evaluation metrics

  • Mean Squared Error (MSE)

  • R-squared (R²)

• Real-world regression examples and case studies

 Supervised Learning – Classification

• Introduction to classification

• Binary vs. multiclass classification

• Decision Trees

• Ensemble methods

  • Random Forest

  • Gradient Boosting

• Support Vector Machines (SVM)

• Evaluation metrics

  • Accuracy

  • Precision

  • Recall

  • F1-score

• Application examples in healthcare, finance, and marketing

Certificate :

On successful Completion of Course, Certificate will be Issued by Kriatec Services Pvt Ltd.

Registration:

Prior registration for participation is necessary. 

How To Apply

Step 1 : Register and update your Profile.

Step 2 : Click on  'Enroll Now' button of your desired course.

Step 3 : Click on 'Pay Now' button to pay the course fee                                                                                                                                            

Step 4 : On successful registration you will be notified and have access to the Online course.