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AI & ML Mastery with Python

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AI & ML Mastery with Python — a video-based capstone program featuring 4 hands-on projects in NLP, deep learning, computer vision, and face & emotion recognition. Learn Python, TensorFlow, Keras, OpenCV, and deploy end-to-end AI solutions.

5 Modules
with Certifications
21:50 Hours
of Recorded Content
5.0 Ratings
by 678 Learners
English
Language
Paid Course
Get this Course @ ₹4,999
678 enrolled in this course

AI & ML Mastery with Python

AI & ML Mastery with Python is a comprehensive, video‑based capstone program designed to help learners gain practical expertise in artificial intelligence and machine learning. Structured around four hands‑on projects, the course blends theory with real‑world applications, ensuring participants not only understand the concepts but also know how to implement them effectively.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1: Introduction & Fundamentals

Introduction to AI
Numpy
Pandas
Data Visualization
Introduction to Computer Vision and its Application
OpenCV
OpenCV Part - 2

M2

Module 2: Natural Language Processing

Color Tracking using OpenCV
Image & Video Processing using Computer Vision 2
Face Counting using OpenCV
Edge Detection using OpenCV
Region of Interest using OpenCV
Lane Detection
Fire Detection using OpenCV
Gesture Detection using Sklearn and OpenCV
Digital art using OpenCV 1
Digital art using OpenCV 2
Mouse control using gesture

M3

Module 3: Deep Learning & Neural Networks

Drowsiness Detection using Eye Aspect Ratio
Head Pose Detection using ML
Object Recognition using DNN and TensorFlow
Vehicle Speed Estimation using DNN
Emotion Recognition using Deep Learning
Traffic Sign Recognition using Deep Learning
Social Distance Monitoring using Deep Learning
Optical Character Recognition
Speech Recognition and Text‑to‑Speech Conversion
Speech Emotion Recognition using Deep Learning

M4

Module 4: Computer Vision

Introduction to NLP and its Applications
Tokenizing using NLTK
What is Stemming in NLP
Purpose of Lemmatizing
Chunking and its Functions

M5

Module 5: Face & Emotion Recognition

Intro to NLP using AWS
Working with AI in Azure
Working with AI in Azure 2

Capstone Project

AI & ML Mastery with Python

A video-based journey through four practical AI/ML projects—covering NLP, deep learning, computer vision, and face/emotion recognition.

NLP & Sentiment Analysis Logo
PROJECT 1

Natural Language Processing & Sentiment Analysis

Video lessons on fake news detection, sentiment analysis, and language translation using NLP techniques.

Deep Learning Logo
PROJECT 2

Deep Learning & Neural Networks

Video tutorials on handwritten text recognition, traffic sign recognition, and leaf disease detection.

Computer Vision Logo
PROJECT 3

Computer Vision Applications

Video walkthroughs of YOLO object detection, CNN image classification, and advanced vision tasks like face/eye detection and age/gender prediction.

Face & Emotion Recognition Logo
PROJECT 4

Face & Emotion Recognition

Video-based implementation of face recognition, mask detection, and emotion recognition using TensorFlow/Keras and OpenCV.

CORE TOOLING MASTERY

Tech Stack

Master essential Python libraries and frameworks for AI/ML, NLP, deep learning, and computer vision.

Python & NumPy
Pandas & Data Wrangling
Scikit-Learn
TensorFlow / Keras
OpenCV
Matplotlib & Seaborn

Course Stats

₹12 LPA

Average Salary in Python/ML Roles

₹40 LPA

Highest Salary in AI/ML Engineering Roles

90%

Average Salary Hike after AI/ML Specialization

15,000+

Job Openings in Python & AI

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
Award 1
VERIFIED STUDENT REVIEWS

What Our Students Say

See how Pantech courses accelerated career transitions across India.

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HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

Do I get lifetime access to the course content?

Yes, once enrolled, you have complete lifetime access to all learning materials, recorded videos, and resources.

Will I receive a certificate upon completion?

Absolutely. A globally recognized, industry-vetted digital certificate is provided upon successful completion of the curriculum.

Is there a refund policy?

Yes, we offer a 7-day money-back guarantee if you are not satisfied with the course content or delivery format.

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