📄 Internship Offer Letter
⚠️ Please generate your Offer Letter before starting Week 1.
🚀 Generate Offer Letter
WEEK 1 – Python & Statistics Foundation
This week builds a strong foundation in Python programming and essential statistical concepts required for Artificial Intelligence and Machine Learning. Students develop core coding skills while understanding how mathematical principles support data analysis and model building. This foundation prepares learners for advanced AI and machine learning concepts in the upcoming weeks.
Theory Python Programming
Lab Python Programming00:00
Theory Statistics for Data Science
Lab Statistics for Data Science
WEEK 2 – Data Handling & Visualization
This week equips students with the core tools used by every professional data scientist. Students master NumPy for numerical computing, Pandas for data manipulation, Matplotlib and Seaborn for visualisation, and the complete Exploratory Data Analysis process. By the end of this week, students can take any raw dataset and transform it into clean, model-ready data with meaningful visual insights.
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
This week students build and evaluate real machine learning models using scikit-learn. Starting from core ML concepts, students progress through supervised learning algorithms, unsupervised clustering techniques, and professional model evaluation methods. By the end of this week, students can independently build, train, and assess ML models on real datasets.
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 – Capstone Project & Internship Conclusion
The final week challenges students to apply everything they have learned by building two complete, real-world machine learning projects of their choice. Working independently, students demonstrate mastery of the full ML pipeline — from data collection and EDA through model building, evaluation, and presentation. Successful completion of both projects earns the Synkoc AI/ML Internship certificate.
🎓 Request Your Internship Completion Certificate & Letter of Recommendation
🎓 Training Completion Certificate Request
Congratulations on completing your internship at Synkoc IT Services Pvt. Ltd. 🎉
To receive your Internship Completion Certificate and Letter of Recommendation, please complete the request form below.
👉 Ensure that you have successfully completed all lessons, coding labs, and Capstone Project(s) before applying.
👉 All submissions will be reviewed and approved by the instructor before issuing the Certificate and Letter of Recommendation.
📩 Your Certificate and Letter of Recommendation will be sent to your registered email after approval by the instructor.
If you do not receive them, please check your Spam or Promotions folder.
👇 Click below to request your Certificate & Recommendation Letter
⏱ Takes less than 30 seconds
✅ Please complete this step after successfully fulfilling all internship requirements.
