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ARTIFICIAL INTELLIGENCE

Think smart. Code smarter. Build everything.

Sophorion Academy's AI program takes students from drag-and-drop logic blocks to building and deploying real machine learning models — covering Python, web development, computer vision, LLMs, and AI security along the way.

Jump to Program Structure
Course Objectives

What you'll set out to achieve

  • ✦Learn to code by building real things — apps, games, tools, and AI models
  • ✦Understand machine learning concepts through hands-on model training, not just theory
  • ✦Apply computer vision and natural language processing to real-world problems
  • ✦Work with Large Language Models (LLMs) and build useful AI-powered applications
  • ✦Understand AI security risks — adversarial examples, prompt injection, model attacks
Who This Is For

Target Audience

  • →Students, freshers and working professionals — the program is levelled from visual blocks to advanced AI
  • →Beginners who want to code for the first time in an engaging, project-based environment
  • →Intermediate coders who want to move from tutorials into real Python and web development
  • →Advanced students interested in machine learning, AI engineering, and building AI products
Program Structure

1 foundation, 2 specialisation paths

Start with real AI fluency, then choose a technical or applied path.

6
Foundation Modules
7
Specialisation Tracks
2 Paths
Technical / Applied
Build
Goal
LEVEL 1

Foundational Program

6 modules building real AI fluency — no coding required. For students & freshers. Full details →
MODULE 1

AI Fundamentals

MODULE 2

Prompting as Specification

MODULE 3

Working with AI Assistants

MODULE 4

Agentic Tool Use — First Contact

MODULE 5

Automating Real Work

MODULE 6

Responsible and Safe AI

LEVEL 2A

Agentic AI Engineering

4 core, technical tracks — build with LLMs, retrieval, and agents. For developers & working professionals. Full details →
TRACK 1

Building with LLMs

TRACK 2

Retrieval and Knowledge Systems

TRACK 3

Agentic Architecture and Orchestration

TRACK 4

Secure and Reliable AI Systems

LEVEL 2B

AI Operations

3 non-programming tracks — apply and manage AI without code. For working professionals. Full details →
TRACK 1

AI-Assisted Work and Delegation

TRACK 2

Building Automated Workflows

TRACK 3

Governance, Measurement, and Adoption

Learning Outcomes

What you'll be able to do

  • ✓Write Python programs to solve real problems from scratch
  • ✓Build interactive web applications using HTML, CSS, and JavaScript
  • ✓Train and evaluate a machine learning model on a real dataset
  • ✓Implement a computer vision classifier using TensorFlow or PyTorch
  • ✓Build a working chatbot or conversational AI using LLM APIs
  • ✓Apply prompt engineering and understand how LLMs generate output
  • ✓Identify and mitigate AI security vulnerabilities in deployed models
  • ✓Ship a complete personal project — from idea through to deployed, working product
Technologies Covered

Tools & Frameworks

Industry-standard tools used by real practitioners — so what you learn here transfers directly to the job.

PythonScratchHTML/CSS/JSTensorFlowPyTorchscikit-learnHugging FaceJupyterOpenAI APIGit & GitHub
Career Opportunities

Where this takes you

Graduates of this program are prepared for entry-level to mid-level roles including:

Software DeveloperAI/ML EngineerData ScientistFull-stack DeveloperAI Product EngineerAutomation Engineer
Ready to start?

Enroll in AI

Weekend and weekday batches available. Trial classes offered. Speak to us to find the right start point for you.

Book a free trial class
FAQs

Common questions

What age can students start Coding?

From age 7. Younger students begin with Scratch (visual block coding), and progress to Python and beyond as they develop.

Do I need a computer at home?

Access to any modern computer is helpful for practice. All tools used in class are free and open-source. Replit allows browser-based coding without local setup.

When does AI come in?

The AI modules begin after students have a solid foundation in Python. Younger students work toward it; older or more advanced students can start AI content directly after assessment.

Is this separate from or combined with AI and Coding?

It's a combined program — coding foundations lead naturally into AI. Separate tracks focus on different depths depending on the student's age and experience.

What projects do students build?

Image classifiers, chatbots, web apps, games, automation tools, and personal capstone projects. Every student leaves with a real, documented build.

Start your AI journey today.

Lab-first, Project-driven, Combining real tools with a structured curriculum designed for learners, educators and professionals.

Enroll now Learn about us