top of page

Instructor-Led

​

Cost:

  • Monthly Cost is $210  group lessons (online/in-class, we limit to the group to 4 students)

  • Monthly Cost is $270  private lessons (online/in-class) while per session cost is $70

​

Course details:  For private lessons purchase a Subscription Based Service  plus Private lesson  OR email us at info@dcodestem.com for any additional questions before your purchase .

For group lessons we plan to cover AI/ML/DL topics this year

As we are about STEM our emphasis is on communication, collaboration, research, problem-solving critical thinking, and creativity, we make leaders and not just coders. Below are just examples 

​

Intro to Java: 

  • Hands-on projects will cover the below topics

Topics:

  •  Installing and using Eclipse IDE.

  • Functions, variables, data types.

  • Introduction to predefined classes in Java.

  • Introduction to class, constructor, and using objects of a class.

  • Loops and conditional statements.

  • Intro to a GUI based application.

​

Java in Depth 1: 

  • Pre-req “Intro to Java”

  • A hands-on project we will cover the following topics:-

Topics:

  • Software Development lifecycle

  • Object-oriented concepts like inheritance, polymorphism

  • Exception handling, Interfaces

  • Arrays single and multi-dimensional

  • Final project a GUI based application covering the above topics

​ 

Java in Depth 2: 

  • Pre-req Intro to Java and Java in Depth 1

  • A hands-on project we will cover the following topics:-

Topics:

  • Lists, Stack and queues

  • Multi-threading,

  • Network programming.

  • Database Programming

  • Final project a GUI based application covering one of the above topics

​​

Intro to Artificial Intelligence/Machine and Deep learning: 

  • Pre-req experience with Java and Python

Topics:

  • Intro to AI/ML/DL, Approach, Intro to types of ML Systems.

          Note: Recording will not cover installing git, mvn and IntelliJ IDEA 

  • Details on Types of Machine learning Systems and explanation, main challenges, MNIST dataset, performance measures

  • Precision and recall concepts, different kind of means and their usage

  • Precision and Recall continued using MNIST dataset and example shared using IDE, ROC Curve explained

  • Make your own AI based stock prediction model

​​

Artificial Intelligence/Machine and Deep learning in depth Series 1: 

  • Pre-req experience with Java and Python

Topics:

  • Interfacing with Chatgpt and familiarity with  pytorch

  • Hands on project to further understand concept of Machine Learning 

  • Coding exercise for different types of means.

 

Artificial Intelligence/Machine and Deep learning in depth Series 2 (2025): 

  • Pre-req experience with Java and Python

Topics:

  • Hands on project using pytorch and understating neural networks 

​

Process to register

  • Send us an email if you have any questions.

Ready to Register, follow steps  below

​

Preparing for you Class 

  1. Make sure you have done your pre-work below, if you need help you can email the instructor at info@dcodestem.com at least 72 hours before the class.

  2. Zoom link will be sent 24 hours before class, which will include pre-work 

  3. At the least please make sure you can install the below package

bottom of page