AI & ML

AI & Machine Learning

Name: Semicolon Innovations
Address: Kunnath Building, Sankara Iyyer Road Junction, Westfort, Thrissur, Kerala, 680004, IN
Telephone: +91

Learn Python, Machine Learning algorithms, data analysis, and predictive modeling to build intelligent applications using real-world datasets.

Syllabus

1 Month Track

check_circle Week 1: Python Programming Basics, NumPy & Pandas — You will get hands-on with Python Programming Basics and NumPy & Pandas, moving from explanation to practice in guided sessions.
check_circle Week 2: Data Cleaning & EDA, Data Visualization (Matplotlib/Seaborn) — This block covers Data Cleaning & EDA and Data Visualization (Matplotlib/Seaborn), with exercises designed so you apply each concept immediately, not just watch a demo.
check_circle Week 3: Statistics for ML, Introduction to Machine Learning — You will practice Statistics for ML and Introduction to Machine Learning through small guided tasks, building the muscle memory needed before the next module.
check_circle Week 4: Regression & Classification Basics, Mini Project — Expect a mix of short lectures and lab time on Regression & Classification Basics and Mini Project, so you leave with working code/output, not just notes.

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6 Months Track

check_circle Month 1: Python Fundamentals, NumPy, Pandas, Data Visualization — You will practice Python Fundamentals and NumPy, Pandas, Data Visualization through small guided tasks, building the muscle memory needed before the next module.
check_circle Month 2: Statistics, Probability & EDA, SQL for Data Extraction — Expect a mix of short lectures and lab time on Statistics, Probability & EDA and SQL for Data Extraction, so you leave with working code/output, not just notes.
check_circle Month 3: Supervised & Unsupervised Learning, Model Evaluation Techniques — You will build a small piece of the final project while learning Supervised & Unsupervised Learning and Model Evaluation Techniques, connecting theory to something real.
check_circle Month 4: Deep Learning Basics (Neural Networks), TensorFlow/Keras or PyTorch — This module walks through Deep Learning Basics (Neural Networks) and TensorFlow/Keras or PyTorch step by step, with in-class practice and doubt-clearing sessions.
check_circle Month 5: Model Deployment (Flask/FastAPI), MLOps Basics, Cloud Basics for ML — You will get hands-on with Model Deployment (Flask/FastAPI), MLOps Basics, and Cloud Basics for ML, moving from explanation to practice in guided sessions.
check_circle Month 6: Capstone Project, Agile & Git Workflow, Resume Building, Mock Interviews, Internship/Placement Preparation — This block covers Capstone Project, Agile & Git Workflow, Resume Building, Mock Interviews, and Internship/Placement Preparation, with exercises designed so you apply each concept immediately, not just watch a demo.

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AI & Machine Learning

Syllabus

1 Month Track

3 Months Track

6 Months Track