💼📄 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 Handling & Visualization
NumPy, Pandas, Matplotlib, Seaborn, and Exploratory Data Analysis.
Theory NumPy
Lab NumPy
Theory Pandas
Lab Pandas
Theory Data Visualization
Lab Data Visualization
Theory Exploratory Data Analysis
Lab Exploratory Data Analysis
WEEK 3 – Machine Learning Algorithm
Supervised learning, unsupervised learning, model evaluation using scikit-learn.
Theory Introduction to Machine Learning
Lab Introduction to Machine Learning
Theory Supervised Learning
Lab Supervised Learning
Theory Unsupervised Learning
Lab Unsupervised Learning
Theory Model Evaluation
Lab Model Evaluation
WEEK 4 – Deep Learning & Neural Networks
Neural networks, backpropagation, Keras, CNNs, and transfer learning.
Theory Deep Learning & Neural Networks
Lab Deep Learning & Neural Networks
WEEK 5 – NLP & Computer Vision
Text pipelines, TF-IDF, transformers, BERT, YOLOv8, and multimodal AI.
Theory NLP & Computer Vision
Lab NLP & Computer Vision
WEEK 6 – Capstone Project & Internship Conclusion
Choose 2 from 10 industry-grade real-world projects. Build complete 8-phase end-to-end ML pipelines applying everything from Weeks 1 to 5.
Theory Capstone Project
Lab Capstone Project
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
