Core Skill Beginner 6 Weeks • 40+ Hours • 1-on-1 Live
Machine Learning Foundations with Python
Learn Python and machine learning the engineer's way — practical, visual, zero heavy math. Train your first models, understand what's happening under the hood, and build the foundation every AI/ML role expects.
Industry-Expert Trainer 4.9/5 Student Rating Placement Assistance 24x7 Hands-on Labs
Training Highlights
- 1-on-1 live training with Piyush Mahajan (Microsoft (Azure), Ex-VMware)
- 40+ Hours of live instructor-led sessions — flexible timing, your pace
- Live class recordings with timestamped notes — revise anytime
- 24x7 dedicated lab pod — 8+ guided hands-on labs
- Trainer-written PDF notes, workbooks & cheat sheets
- Mock interviews, resume building & placement assistance
- Course completion certificate with unique ID
- Free demo session before you pay anything
Course Content
variables, loops, functions, files, virtual environments
What You Will Learn — Topic by Topic
- Python setup — VS Code, Jupyter & venv
- Data types, loops & functions refresher
- NumPy arrays & vectorized operations
- Pandas DataFrames — filter, group, merge
- Data cleaning & handling missing values
- Visualization with Matplotlib & Seaborn
- Train/test split & why it matters
- Linear & logistic regression intuition
- Decision trees & random forests
- K-means clustering & anomaly detection
- Classification metrics that matter
- Overfitting, underfitting & regularization
- Feature engineering basics
- Cross-validation & model selection
- Intro to neural networks (conceptual)
- Where ML fits in IT, cloud & security
Hands-on Labs You Will Perform
LAB 01
Python & Jupyter environment setup
LAB 02
Clean & explore a real network-traffic dataset
LAB 03
Train a classifier to detect suspicious logins
LAB 04
Clustering lab — group servers by behaviour
LAB 05
Regression lab — predict bandwidth usage
LAB 06
Confusion matrix deep-dive on security data
LAB 07
Build & evaluate 3 models head-to-head
LAB 08
Capstone — ML model on your own dataset
Prerequisites
- Basic computer skills
- No programming experience needed
- Laptop with 8GB RAM
Who Can Do This Course
- Engineers wanting ML foundations
- Analysts moving toward data/AI roles
- Students targeting AI careers
Career Opportunities & Salary
India: ₹6 – 12 LPA Global: $80K – $110K
Junior ML Engineer
Data Analyst
AI Support Engineer
Frequently Asked Questions
Still have doubts about Machine Learning Foundations with Python?
Talk to a counsellor or book a free 1-on-1 demo with Piyush Mahajan — no commitment.