Subject 1
Mathematical Foundations for AI
- •Linear algebra and matrix decompositions
- •Vector calculus, probability, and distributions
- •Optimization and gradient descent
Trycle Certification Program
Artificial Intelligence & Machine Learning
An industry-aligned AI & Machine Learning certification program for Indian colleges that helps students build practical skills in Python, data science, machine learning, model evaluation, and deployment through campus sessions, hands-on labs, and Trycle’s learning platform.
- Hands-on labs
- Applied case studies and projects
- Faculty enablement included
- PROGRAM STRUCTURE
- 3–6 subjects
- Mode
- Offline + Online
- Level
- Intermediate
- Credential
- IIIT-K certification
About this program
Trycle’s AI & Machine Learning track builds the mathematical, statistical, and programming foundations required to understand data science, machine learning, deep learning, and applied AI systems.
Colleges can run the program as a structured certification pathway through campus labs, guided practice, assessments, and continuous learning support on the Trycle learning platform.
What you'll learn
- Mathematical foundations for AI, ML, data analytics, and optimization
- Data science with R, including statistics, visualization, and preprocessing
- Machine learning workflows, feature engineering, training, and evaluation
- Regression, classification, decision trees, SVM, Naive Bayes, and PCA
- Advanced ML concepts including clustering, ensembles, and neural networks
- NLP, anomaly detection, reinforcement learning, and applied case studies
Program curriculum
Subject 2
Data Science with R
- •R programming and data handling
- •Statistics, visualization, and preprocessing
- •Regression and correlation analysis
Subject 3
Introduction to Machine Learning
- •ML workflows, features, and model training
- •Regression, classification, and model evaluation
- •Decision trees, SVM, Naive Bayes, and PCA
Subject 4
Advanced Machine Learning
- •Clustering, HMM, and ensemble methods
- •Neural networks and reinforcement learning
- •NLP, anomaly detection, and case studies
Who is this for?
- →CSE / IT students in years 2–4 seeking industry-ready AI skills
- →Colleges looking to offer an AI & ML add-on certification program
- →Colleges adding an AI specialization or honors track
- →Faculty upskilling to deliver blended ML courses
How Trycle delivers
Co-designed syllabus
Mapped to institutional requirements with outcomes aligned to industry expectations.
Blended classrooms
In-campus sessions plus Trycle learning platform for lessons, quizzes, and projects.
Measured results
Cohort dashboards, assessments, and certification upon completion.
Many Tools, One Programme
Python
R Programming
Jupyter Notebook
Google Colab
NumPy
Pandas
SciPy
Matplotlib
Seaborn
Plotly
Scikit-learn
XGBoost
LightGBM
CatBoost
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
spaCy
NLTK
MySQL
PostgreSQL
Docker
GitHub
MLflow
FastAPI
Flask
Streamlit
Gradio
Kaggle
AWS SageMaker
Azure AI Studio
Google Vertex AI
ChatGPT
GitHub Copilot
Cursor AI
Earn Two Levels of Certification
Students receive subject-wise completion certificates and a final program certificate after successfully completing all required subjects.
Subject Completion Certificate
Issued when a learner completes each subject module with required assessments and participation.
Program Completion Certificate
Awarded after successfully completing all subjects and requirements in the full program track.
Bring AI & ML to your campus
Talk to Trycle about cohort sizing, faculty training, and launch timelines.