Artificial Intelligence Case Study Master Class with Python

Artificial Intelligence Case Study Master Class with Python, available at $54.99, has an average rating of 4.85, with 76 lectures, based on 39 reviews, and has 549 subscribers.

You will learn about The course provides path to start career in Artificial Intelligence Problem Solving Approach Impress interviewers by showing an understanding of the Artificial Intelligence concept with Machine Learning Python Basic to Advance Concept with Numpy Library Case Study of Robotics (Unmanned Ground Vehicle) Speech Recognition and Natural Language Processing This course is ideal for individuals who are The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills in Artificial Intelligence with Machine Learning or People interested to learn Artificial Intelligence with Machine Learning using Python It is particularly useful for The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills in Artificial Intelligence with Machine Learning or People interested to learn Artificial Intelligence with Machine Learning using Python.

Enroll now: Artificial Intelligence Case Study Master Class with Python

Summary

Title: Artificial Intelligence Case Study Master Class with Python

Price: $54.99

Average Rating: 4.85

Number of Lectures: 76

Number of Published Lectures: 76

Number of Curriculum Items: 76

Number of Published Curriculum Objects: 76

Original Price: ?999

Quality Status: approved

Status: Live

What You Will Learn

The course provides path to start career in Artificial Intelligence

Problem Solving Approach

Impress interviewers by showing an understanding of the Artificial Intelligence concept with Machine Learning

Python Basic to Advance Concept with Numpy Library

Case Study of Robotics (Unmanned Ground Vehicle)

Speech Recognition and Natural Language Processing

Who Should Attend

The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills in Artificial Intelligence with Machine Learning

People interested to learn Artificial Intelligence with Machine Learning using Python

Target Audiences

The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills in Artificial Intelligence with Machine Learning

People interested to learn Artificial Intelligence with Machine Learning using Python

“AI and Machine Learning Masterclass: Unraveling Python’s Potential”

Embark on a transformative journey into the realms of Artificial Intelligence, Python, and Machine Learning with our comprehensive masterclass. This course covers fundamental Python concepts, advanced Python techniques, Numpy library essentials, and dives deep into cutting-edge topics like Unmanned Ground Vehicle (UGV) technology, Artificial Intelligence (AI), Machine Learning types including Unsupervised Learning and Reinforcement Learning, Speech Recognition, and Natural Language Processing (NLP).

Course Highlights:

1. AI Design Series:

   – Part 1: Unmanned Ground Vehicle Path Finding

   – Part 2: Bellman Equation

   – Part 3: Markov Decision Tree

   – Part 4: Q Learning

   – Part 5: Code for Displaying Path

Delve into the world of Artificial Intelligence, where machines demonstrate intelligence through perceiving their environment and maximizing goal achievement. Explore Natural Language Processing (NLP), enabling machines to read and comprehend human language, fostering applications like information retrieval and question answering.

Why Enroll?

Ideal for aspiring AI, Python, and Machine Learning enthusiasts, this course offers insights into advanced web search engines, recommendation systems, speech recognition technologies (e.g., Siri, Alexa), and self-driving cars (e.g., Tesla). Master fundamental AI concepts and Python essentials while gaining hands-on experience through real-world AI design projects.

Enroll now to kickstart your career in Artificial Intelligence, Python, and Machine Learning. Unlock opportunities in the dynamic world of intelligent technology and emerge as a proficient AI practitioner and Python developer.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Overview in Animation

Lecture 2: Why to join this course?

Lecture 3: Meet Trainer for this Course

Lecture 4: Introduction of Python and Python Libraries

Lecture 5: Meet Trainer for this Course

Chapter 2: Python Programming Tutorials

Lecture 1: Brief Python Introduction

Lecture 2: Set Up – Python IDLE and Google Colab

Lecture 3: Data Type, Variable and Keywords

Lecture 4: How to produce output and Print Statement in Python

Lecture 5: how to take input from User

Lecture 6: List, Tuple, Set, Dictionary

Lecture 7: List Operations in details

Lecture 8: Tuple Operations in details

Lecture 9: Set Operations in details

Lecture 10: Dictionary Operations in details

Lecture 11: String Operation in Python

Lecture 12: Types of Operators

Lecture 13: Data Type Conversion

Lecture 14: Math library

Lecture 15: Importance of Indentation

Lecture 16: Sequential, Selection, Repetition

Lecture 17: Collections Module

Lecture 18: Queue Module

Lecture 19: Generation of Random Number and Range Functions

Lecture 20: isinstance, Use of format, Timeit(), round(), Slice and abs()

Lecture 21: Datetime and Calendar Module

Lecture 22: Exception Handling in Python

Lecture 23: Iterator

Lecture 24: Generator and Decorators

Lecture 25: Lambda, Map, Filter and Reduce Function

Lecture 26: Python CSV file Operations

Lecture 27: Zip Function

Lecture 28: eval(),exec(),repr() function

Lecture 29: List Comprehension, Sets, Frozensets and Assertion

Lecture 30: Logging Module

Lecture 31: Regular Expression

Lecture 32: Ternary Operator

Lecture 33: Create, Edit, Write, Read Text File

Lecture 34: User Define Functions and inbuilt Function

Lecture 35: Global and local Variables in Functions

Lecture 36: Switch Case

Lecture 37: Python Crash Course

Chapter 3: Numpy Library

Lecture 1: Numpy Library Tutorial 1

Lecture 2: Numpy Library Tutorial 2

Lecture 3: Numpy Library Tutorial 3

Lecture 4: Numpy Library Tutorial 4

Lecture 5: Numpy Library Tutorial 5

Lecture 6: Numpy Library Tutorial 6

Lecture 7: Numpy Library Tutorial 7

Lecture 8: Numpy Office Website

Chapter 4: Machine Learning

Lecture 1: What is Training, Testing and Model Evolution in Machine Learning

Lecture 2: Supervise Machine Learning

Lecture 3: Unsupervised Machine Learning

Lecture 4: Reinforcement Machine Learning

Chapter 5: Unmanned Ground Vehicle Working Flowchart

Lecture 1: Introduction of Artificial Intelligence AI

Lecture 2: Introduction of Unmanned Ground Vehicle

Lecture 3: Forward Path and Return Path for UGV

Chapter 6: Artificial Intelligence for Unmanned Ground Vehicle

Lecture 1: AI Design Part 1 Unmanned Ground Vehicle Path Finding

Lecture 2: AI Design Part 2 Bellman Equation

Lecture 3: AI Design Part 3 Markov Decision Tree

Lecture 4: AI Design Part 4 Q Learning

Lecture 5: AI for Part 5 Code for Displaying Path

Lecture 6: AI for Part 6 Explanation of Code

Chapter 7: Speech Recognition and Natural Language Processing

Lecture 1: Need of NLP and Speech Recognition for UGV

Lecture 2: Voice is Future of User Interface

Lecture 3: Set up Environment

Lecture 4: Speech to Text

Lecture 5: Speech to Test output

Lecture 6: Text to Speech

Lecture 7: Text to Speech Output

Lecture 8: Speech Recognition in Python using Google Speech API

Lecture 9: Restart your Computer with Speech Recognition

Lecture 10: Today’s Day using Speech Recognition

Lecture 11: Convert image to text and text to speech

Lecture 12: Difference Between Speech Recognition and Natural Language Processing

Lecture 13: NLP Tutorial

Instructors

Piyushh n Dave9
Professional Trainer of Python, Data Science, AI, ML, DL

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 5 votes

5 stars: 31 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!