💼📄 Internship Offer Letter
⚠️ Please generate your Offer Letter before starting Week 1.
🚀 Generate Offer Letter
🤖📘 AI / ML_Reference_Guide by Synkoc
AI / ML_Reference_Guide by Synkoc
WEEK 1 – Python & Statistics Foundation
Python programming fundamentals and essential statistics for AI/ML.
Theory Statistics for Data Science
Lab Statistics for Data Science
WEEK 2 – Data Tools & EDA
Master the core data-wrangling stack: NumPy, Pandas, visualisation, and the 4-phase EDA workflow.
Theory NumPy
Lab NumPy
Theory Pandas
Lab Pandas
Theory Data Visualisation
Lab Data Visualisation
Theory Exploratory Data Analysis
Lab Exploratory Data Analysis
WEEK 3 – Machine Learning
sklearn workflow, supervised and unsupervised learning, and rigorous model evaluation.
Theory Introduction to ML
Lab Introduction to ML
Theory Supervised Learning
Lab Supervised Learning
Theory Unsupervised Learning
Lab Unsupervised Learning
Theory Model Evaluation
Lab Model Evaluation
WEEK 4 – Deep Learning
Neural networks from first principles: neurons, activations, backpropagation, Keras, and CNNs.
Theory Deep Learning
Lab Deep Learning
WEEK 5 – NLP & Computer Vision
Text preprocessing, TF-IDF, Transformers, BERT, image classification, and YOLO object detection.
Theory NLP & Computer Vision
Lab NLP & Computer Vision
WEEK 6 – Capstone Project & Internship Conclusion
10 industry-grade projects — pick 2 and build end-to-end for your certificate.
Theory Capstone Introduction
Lab Capstone Projects (10 projects)
Review Final Presentation & Instructor Evaluation
🎓 Request Your Internship Completion Certificate & Letter of Recommendation
🎓 Request Your Internship Completion Certificate & Letter of Recommendation
🎓 Training Completion Certificate Request
🎓 Training Completion Certificate Request
Theory Python Programming
