Foudation Course in Python & ML Development

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Course Description

Python & Machine Learning Development is one of the most powerful and in-demand fields in today’s technology landscape. At Cipher Mantra Academy, our Python & Machine Learning course teaches learners how to build intelligent systems, automate tasks, analyze data, and develop predictive models using real-world datasets. This program covers Python fundamentals, data structures, libraries like NumPy, Pandas, Matplotlib, and advanced Machine Learning techniques such as regression, classification, clustering, and model optimization.

Program Key Features
  • 3 Months of Live Python & Machine Learning Training

  • Industry-Recognized Certification

  • Hands-On Practice with Python, ML Algorithms & Data Libraries

  • Real-Time Projects Using Real-World Datasets

  • Interview Preparation with Experienced Technical HR

  • Bonus Module: AI Tools, Data Visualization & Automation Scripts

What You’ll Learn in This Python & ML Development Course?
  • Python Programming Fundamentals

  • Data Handling With Python

  • Machine Learning Foundations

  • Supervised Learning Models

  • Unsupervised Learning Models

  • Model Evaluation & Optimization

  • Data Preprocessing & Feature Engineering

  • Predictive analysis, classification models, dashboards, automation tools.

Why you should learn this?

Python & Machine Learning are among the highest-paying skills in tech, with endless career opportunities in AI, data science, automation, and software development. By learning Python, you gain a versatile programming foundation, and by mastering Machine Learning, you gain the ability to build intelligent applications that drive business decisions. Whether you want to become a Machine Learning Engineer, Data Analyst, Python Developer, or AI Specialist, this course gives you the practical skills and mindset needed to excel in the future of technology.

Learning Outcomes

Search Engine Optimization

Social Media Marketing

Pay Per
Click

Email & Linkedin Marketing

Graphic
Designing

WordPress Development

Frontend Development

Python & ML Development

  • Hands-on ML projects — work on real data analytics and AI-driven use cases.

  • Industry-standard tools — gain exposure to Python, Scikit-learn, TensorFlow, and cloud deployment.

  • Career-focused learning — prepare for roles like Data Analyst, ML Engineer, and AI Developer.

1st Week

  • 1.1: Python Setup
  • 1.2: Data Types
  • 1.3: Loops & If
  • 1.4: Functions
  • 1.5: Mini Project – Calculator

2nd Week

  • 2.1: Lists & Dicts
  • 2.2: Files & Errors
  • 2.3: NumPy Basics
  • 2.4: Pandas Intro
  • 2.5: Project – Data Clean

3rd Week

  • 3.1: Data Analysis
  • 3.2: Matplotlib
  • 3.3: Seaborn
  • 3.4: Feature Engg.
  • 3.5: Project – Report

4th Week

  • 4.1: ML Intro
  • 4.2: Supervised ML
  • 4.3: Regression
  • 4.4: Evaluation
  • 4.5: Project – Prediction

5th Week

  • 5.1: Unsupervised ML
  • 5.2: Clustering
  • 5.3: PCA Basics
  • 5.4: Optimization
  • 5.5: Project – Segmentation

6th Week

  • 6.1: Deep Learning
  • 6.2: Neural Nets
  • 6.3: TensorFlow
  • 6.4: Keras Models
  • 6.5: Project – Image Classifier

7th Week

  • 7.1: NLP Basics
  • 7.2: Text Prep
  • 7.3: Sentiment ML
  • 7.4: Word Embeds
  • 7.5: Project – Text Classifier

8th Week

  • 8.1: Flask Deploy
  • 8.2: API Connect
  • 8.3: Cloud Deploy
  • 8.4: Git & Version
  • 8.5: Capstone Project

9th Week

  • 9.1: Advanced Pandas
  • 9.2: Time Series
  • 9.3: Real-Time Data
  • 9.4: APIs in Python
  • 9.5: Project – Dashboard

10th Week

  • 10.1: Stats in ML
  • 10.2: Prob. & Dist.
  • 10.3: Correlation
  • 10.4: Metrics
  • 10.5: Project – Analysis

11th Week

  • 11.1: AutoML
  • 11.2: Model Tune
  • 11.3: Pipelines
  • 11.4: Model Save
  • 11.5: Project – End to End

12th Week

  • 12.1: Final Project
  • 12.2: Review & Debug
  • 12.3: Deploy & Demo
  • 12.4: Portfolio Prep
  • 12.5: Certification
Stars 5
35
Stars 4
10
Stars 3
8
Stars 2
0
Stars 1
0
4.9
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Pay Per
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Frequently Asked Questions
1.

Our Digital Marketing course runs for 3 months, including live classes, practical assignments, and hands-on training with real industry tools.

2.

No prior experience is required. The course is designed for beginners, students, freelancers, and working professionals who want to build a strong foundation in digital marketing.

3.

You will learn top industry tools such as Google Analytics, Google Ads, Meta Ads Manager, SEO tools, Content tools, Email Marketing platforms, and more.

4.

Yes, Upon successful completion of the course and assessments, you will receive a recognized certification along with additional certificates based on your specialization modules.

5.

After completing the course, you can pursue roles such as Digital Marketer, SEO Executive, Social Media Manager, Performance Marketer, Content Writer, Website Designer, or even start your own freelancing or agency career.