Internship on A.I + Python
Price: 13 USD
International customers
What You will Get?
✅Recorded videos Lectures .
✅25+ Projects with Source Code and Explanations
✅Downloadable source codes
✅Downloadable PPTs
✅Assignments
✅Course Validity : Lifetime validity
✅ 2 Internship E- Certificate will be provided
✅Lifetime Access to the Private Community
What you will Learn?
Python
✅Introduction to Python
✅Installing & Working with Python IDLE
✅Configuring Environmental Variables – Command Window
✅Installing Anaconda Navigator (Jupyter Notebook)
✅Working with Anaconda Navigator (Spyder Notebook)
✅Working with Google Colab
✅Working with Pycharm
✅Working with Libraries
✅Simple Arithmetic
✅Introduction to Strings
✅Indexing and Slicing with Strings
✅String Properties and Methods
✅Print Formatting with Strings
✅Lists in Python
✅Dictionaries in Python
✅Tuples with Python
✅Sets in Python
✅Booleans in Python
✅I/O with Basic Files in Python
✅Python Objects and Data Structures
✅Comparison Operators in Python
✅Chaining Comparison Operators in Python with Logical Operators
✅If Elif and Else Statements in Python
✅For Loops in Python
✅While Loops in Python
✅Useful Operators in Python
✅List Comprehensions in Python
✅Methods and the Python Documentation
✅Introduction to Functions
✅Basics of Python Functions
✅Logic with Python Functions
✅Tuple Unpacking with Python Functions
✅*args and **kwargs in Python
✅Lambda Expressions, Map, and Filter Functions
✅Attributes & Class Keyword
✅Class Object Attributes and Methods
✅Inheritance and Polymorphism
✅Special(Magic/Dunder) Methods
✅Modules and Packages
✅name and “main”
✅Errors and Exceptions Handling
✅Pylint Overview
✅Decorators with Python Overview
✅Generators with Python
✅Python Collections Module
✅Opening and Reading Files and Folders
✅Python Datetime Module
✅Python Math and Random Modules
✅Python Debugger
✅Python Regular Expressions
✅Timing Your Python Code
✅Zipping and Unzipping files with Python
✅Setting Up Web Scraping Libraries
✅Grabbing a Title
✅Grabbing an Image
✅Book Examples
✅Introduction to Images with Python
✅Working with CSV Files in Python
✅Working with PDF Files in Python
✅Sending Emails with Python
✅Receiving Emails with Python
Artificial Intelligence
✅DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow)
✅DAY – 2 How to install Python & Libraries | Basics of python Programming for AI.
COMPUTER VISION
✅DAY – 3 Introduction to Computer Vision| How to install computer vision libraries
✅DAY – 4 Moving Object Detection and tracking using OpenCV
✅DAY – 5 Face Detection and Tracking using OpenCV
✅DAY – 6 Object Tracking based on color using OpenCV
✅DAY – 7 Face Recognition using OpenCV
✅DAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCV
DEEP LEARNING
✅DAY – 9 Introduction to Deep learning | How to install DL libraries
✅DAY – 10 Designing your First Neural Network
✅DAY – 11 Object recognition from Pre-trained model
✅DAY – 12 Image classification using Convolutional Neural Network
✅DAY – 13 Hand gesture recognition using Deep Learning
✅DAY – 14 Leaf disease detection using Deep Learning
✅DAY – 15 Character recognition using Convolutional Neural Network
✅DAY – 16 Label reading using Optical Character recognition
✅DAY – 17 Smart Attendance system using Deep Learning
✅DAY – 18 Vehicle detection using Deep Learning
✅DAY – 19 License plate recognition using Deep Learning
✅DAY – 20 Drowsiness detection using Deep Learning
✅DAY – 21 Road sign recognition using Deep Learning
MACHINE LEARNING
✅DAY – 22 Introduction to Machine learning| How to install ML libraries
✅DAY – 23 Evaluating and Deploying the various ML model
✅DAY – 24 Fake news detection using ML
✅DAY – 25 AI snake game design using ML
NATURAL LANGUAGE PROCESSING
✅DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK
✅DAY – 27 Title Formation from the paragraph design using NLP
✅DAY – 28 Speech emotion analysis using NLP
DEPLOYING AI IN HARDWARE
✅DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga
✅DAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano