AI & Machine Learning

Shape the Intelligence Revolution

Dive deep into artificial intelligence, machine learning algorithms, and neural networks to build intelligent systems that learn and adapt.

Hands-on AI/ML projects
Deep learning expertise
Research opportunities
Industry connections

What You'll Master

1

Machine Learning Fundamentals (Supervised & Unsupervised)

2

Deep Learning & Neural Networks

3

Natural Language Processing (NLP)

4

Computer Vision & Image Recognition

5

AI Model Deployment & MLOps

6

Ethical AI & Responsible ML

Program Roadmap

Your Journey with TechAscend

A structured 9-month fellowship designed to transform you into an industry-ready tech professional.

Dec 15, 2025 - Jan 15, 2026

Applications Open

Submit your application to join the next cohort. Don't miss the window!

Dec 28, 2025

Info Session & Event

Join our physical awareness event and info session to learn more about the program.

Late Jan 2026

Selection & Offers

Successful candidates and waitlisted applicants will receive their offers. Confirm by accepting the Code of Conduct and sharing your achievement.

Feb 5 - Feb 9, 2026

Orientation & Kick-off

Program kick-off on Feb 5th, followed by our Welcome Orientation on Feb 9th.

Feb - Apr 2026

Foundations (Months 1-3)

Master the core technical skills and fundamental concepts required for your track.

May - Jul 2026

Applied Projects (Months 4-6)

Apply your skills in real-world projects and focus on professional growth.

Aug - Oct 2026

Incubation & Leadership (Months 7-9)

Final phase focusing on incubation, job placement, and leadership development.

Skills You'll Master

Build expertise in the most in-demand technologies

Python & NumPy
TensorFlow & PyTorch
Scikit-learn
Pandas & Data Analysis
Neural Networks
NLP & Transformers
Cloud ML Services
Model Optimization

AI Career Paths

Launch your career in one of the fastest-growing tech fields

$120K+
Average Salary
40%
Demand Growth
Yes
Cutting-Edge Field
Machine Learning Engineer
AI Research Scientist
Data Scientist
NLP Engineer
Computer Vision Engineer
AI Product Manager

Prerequisites

  • Strong Python programming skills
  • Understanding of statistics & linear algebra
  • Analytical mindset
  • Interest in AI research
  • 40+ hours/week commitment
  • GPU-capable computer recommended

Financial Support Available

We are committed to making tech education accessible. Explore our funding options, including full and partial scholarships.

Build Intelligent Systems

Join the AI revolution and become a sought-after machine learning engineer.