AI Programming Course

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Overview

The software engineering course is delivered in a 24-week part-time or 12-week full-time format and is designed for career-driven professionals to transition into the software industry. 

 

Our program includes pre-work, intensive practical training, industry certification, and a Job Outcomes Program in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.

 

Remote learning is available for this program. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer-to-peer collaboration, and instructor support.

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Why TheInstitute Of Data?

Students Will:

Be ready to practice software development

The Institute of Data’s courses are designed to prepare students for real commercial work. Our software engineering program is focused on practical in-class training, labs and real-life projects.

Receive the best training and the latest curriculum

The Institute of Data trainers are actively working in the industry and will teach you how to practice software engineering. The curriculum is developed by the Institute of Data Academic Board with decades of experience working in data, automation and software engineering.

Be more attractive to employers

The Institute of Data’s Software Engineering Program results in the Certified Software Engineering Professional (CSEP)™️ Industry Certification which signals to employers that you are ready to join the industry. Your resume and profile will be reviewed by your Job Outcomes team to give you the best possible chance of success.

Get more support and guidance

The member network offers support and guidance from mentors and direct connections to the industry.

Meet great people and become a member of the Institute

Beyond a healthy discipline of practical education and learning, you will meet great friends in your virtual or real classroom and become a member of the Institute of Data. Many graduates continue to keep in touch with their fellow students and the community becomes a strong network as you enter the industry.

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Program Structure

Pre-Work

Students complete curated online pre-work designed to prepare every student with the foundational skills required to complete all coursework and training.

Remote or In Class Training

Students undertake a professional in-classroom course from a team of expert industry trainers from leading consultancies and enterprises to acquire the most sought-after practical training in the country.

Job Outcomes

Students will undergo a Job Outcomes Program through the Institute of Data which will help position students for the best chance of a new job opportunity and/or internal promotion. Land a job in one of the most sought after fields in tech with the guidance of Professional Career Coaches and access to our hiring network.

How Will I Be Assessed?

The Institute of Data – Software Engineering Program is assessed through completion of labs and a final capstone project. There is no formal exam. The capstone project is a real-life project and is assessed against the Institute of Data Certification Standards set by the Academic Board and Examination Board.

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We’ll help you transition into the software industry. We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

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Industry Partners & Contacts

Syllabus Breakdown

  • Creating a Basic Web Page
  • Version Control
  • Gathering Requirements and Wireframe Design
  • Test Driven Development
  • Industry Best Practices
  • Web Browsers and the Internet
  • HTML
  • CSS
  • Fluid Layout
  • Fundamentals
  • Intermediate JavaScript
  • Advanced JavaScript
  • Mini-project 1
  • JavaScript Frameworks
  • Figma
  • Bootstrap
  • Working with Data
  • App Enhancements
  • Web Services and JavaScript Applications
  • Developing the MVC Structure
  • Designing a Back-End Service
  • Object-Oriented Development
  • Swagger
  • JSX
  • Components and Props
  • Thinking in React
  • Code Splitting
  • Hooks
  • Routing
  • Integration with Libraries
  • Mini-project 2
  • Database Design
  • MongoDB
  • MySQL
  • Redis
  • REST APIs
  • Sockets
  • Model View Controller
  • Mini-project 3
  • Docker
  • CI/CD with GitHub Actions
  • EC2
  • Beanstalk
  • Additional Topics: determined by students and Lead Trainer
  • Job Outcomes Program
  • Consultation and Presentation training
  • Software Engineering Practice
  • Capstone Project

When Can I Start?


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Fees & Payment

Pre-payment deposit of $300 is required to enroll. Current fees are USD $12,500 for the full time and part time program. Flexible payment plans available.

Course Entry Requirements

Completion of a bachelor degree in any field of studies
Completion of any previous qualification undertaken in English
Completion of assigned online pre-work provided to you when you enroll

Time Commitment: Part Time Program

24 weeks intensive remote or in-class training | 2 night classes per week + 1 Saturday class every other week

Time Commitment: Full Time Program

12 weeks intensive remote or in-class training | Monday-Friday

Location

United States (Remote or In-person)

Contact us about enrolling into this program at your university.

You can schedule a call with an Institute of Data Career Consultant to discuss this course.


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Download Course Outline

Download Course Outline

Discuss with a Career Consultant

You can schedule a call with an Institute of Data Career Consultant to discuss this course.


Schedule a Call

Download Course Outline

Discuss with a Career Consultant

You can schedule a call with an Institute of Data Career Consultant to discuss this course.


Schedule a Call

The artificial intelligence revolution has created unprecedented demand for skilled AI programmers, with machine learning engineer salaries averaging $150,000+ and companies desperately seeking talent capable of implementing AI solutions across diverse industries. Yet individuals researching “AI programming course” options encounter a fragmented educational landscape where programs either assume advanced mathematical backgrounds or focus on high-level AI concepts without providing sufficient programming foundation. This creates a significant barrier for career changers and working professionals who recognize AI’s transformative potential but lack the extensive computer science prerequisites that traditional AI programs require. Many aspiring AI developers discover that jumping directly into machine learning frameworks without solid programming fundamentals leads to frustration and incomplete understanding of underlying principles. The challenge intensifies as AI development requires integration of multiple technologies including data processing, web interfaces, cloud deployment, and real-time system management – skills that pure AI theory courses often overlook. Consequently, many motivated individuals find themselves caught between basic programming courses that ignore AI applications and advanced AI programs that assume extensive technical backgrounds.

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