Ultimate Python - ML, AI, Hacking, Speech Recognition & more from Udemy

What's inside

Syllabus

Introduction

This video will introduce the course. By the end of this lecture you will have a clear understanding of the learning objectives and be ready to start learning the course material.

This video will introduce me, the instructor of the course. I will discuss my credentials and tell you a little bit about myself. By the end of this lecture you will understand who I am and why I chose to create this course.

This video will introduce Section 2, Computer Science Basics. By the end of this lecture you will understand the learning objectives for this section.

In this video you will learn what Computer Science is. By the end of this video you will understand what computer scientists do and have some basic knowledge of the subject area.

In this video you will learn what Computer Programming is. By the end of this lecture you will understand what computer programming is.

In this video you will learn about the 5 generations of programming languages. By the end of this lecture you will be able to identify the 5 generations of programming languages and what each does.

In this video, we will discuss what Python is and why you should write Python code. By the end of this lecture you will have a background of Python knowledge and understand the important role that Python plays in the industry.

In this video we will look at what happens under the hood of the computer when a program is run. By the end of this lecture the act of running a program on the computer will be demystified.

In this video we will learn about two main memory blocks in the computer, the Stack and the Heap. By the end of this lecture you will have a clear understanding of what the Heap and Stack are and the role that they play in the coding and running of a computer program.

In this video I will give you some advice for getting the absolute most that you can out of this course. By the end of this lecture you will understand how to use this course to unlock your potential as a Python developer and future industry professional.

In this video I will give you some advice on becoming the best Python programmer that you can be. I hope you find the advice useful and put some of the tips that I give you into practice.

This video will recap and summarize Section 2, Computer Science Basics.

This video will introduce Section 3, Setup and Install PyCharm on your Computer. By the end of this lecture you will understand the learning objectives for this section.

In this video we will download and install PyCharm. By the end of this lecture you will have PyCharm up and running on your computer.

In this video we will learn the basic controls to navigate the PyCharm program. By the end of this lecture you will be able to navigate around the PyCharm code editor program.

In this lecture we will download and install pip, a free program that will be used to download and install other free modules used throughout the course. By the end of this article you will have pip up and running on your computer, and be ready to use it later in the course to download free libraries that we will work with in Python.

In this video you will understand how to access and use the Python documentation. By the end of this lecture you will understand the different parts of the documentation and where to go to find what you need if you have questions about the Python programming language.

This video will recap and summarize Section 3, Setup and Install PyCharm on your Computer.

This video will introduce Section 4, Getting Started with Python. By the end of this lecture you will understand the learning objectives for this section.

This video will compare and contrast Python 2 and Python 3. Even though this course covers the newer Python 3, Python 2 is still important for working with legacy systems. By the end of this lecture you will understand the difference between these two key versions of Python and why each is important.

This video will teach you how to write the most basic of Python programs, printing Hello World to the console. By the end of this video you will understand how to output Hello World to the console using Python.

This video will explain the answer to the prior coding exercise.

This video will teach you about the basics of variables in Python. By the end of this lecture, you will understand the basics of working with variables in Python.

This video will teach you about the console. By the end of this lecture you will understand what the console is and how to work with it.

This video will teach you about conditional statements in Python. By the end of this lecture you will understand how to work with conditional statements like if, elif, and else.

This video will teach you about loops in Python. By the end of this lecture you will understand how to work with for loops and while loops in Python.

This video will teach you about variable scope in Python. By the end of this lecture you will understand what variable scope is and its role in computer programming.

This video will teach you about namespaces and modules in Python. By the end of this lecture you will understand what namespaces and modules are and the role they play in Python programming.

This video will teach you about comments in Python. By the end of this lecture you will understand what comments are and how to work with them in Python.

This video will teach you the basics of working with functions in Python. By the end of this lecture you will have a solid understanding of the basics of functions in Python.

This video will teach you about what errors are in computer programming. By the end of this video you will understand what errors are and the role that they play in computer programming.

This video will teach you about basic Python syntax. By the end of this video you will understand the basic syntax for writing Python code.

This video will teach you about Python's modulus operator. By the end of this video you will understand what the modulus operator is, what it does, and how to work with it in Python.

This video will teach you about the different keywords that Python supports. By the end of this video you will understand each of the keywords in Python, what they do, and how they are used in the language.

This video will recap and summarize Section 4, Getting Started with Python.

This video will introduce Section 5, Types, Data Structures, and Collections. By the end of this lecture you will understand the learning objectives for this section.

This video will teach you what a data type is in computer programming. By the end of this video you will have a clear understanding of what a data type is and the different data types that are supported by the Python programming language.

This video will teach you about the string data type in Python. By the end of this video you will have a clear understanding of what strings are and how to work with them in Python.

This video will teach you about the integer data type in Python. By the end of this video you will have a clear understanding of what integers are and how to work with them in Python.

This video will teach you about the floating point data type in Python. By the end of this video you will have a clear understanding of what floats are and how to work with them in Python.

This video will teach you about the boolean data type in Python. By the end of this video you will have a clear understanding of what booleans are and how to work with them in Python.

This video will teach you what a collection is in computer programming. By the end of this video you will have a clear understanding of what a collection is and the different collections that are supported by the Python programming language.

This video will teach you about the list data type in Python. By the end of this video you will have a clear understanding of what lists are and how to work with them in Python.

This video will teach you about the tuple data type in Python. By the end of this video you will have a clear understanding of what tuples are and how to work with them in Python.

This video will teach you about the dictionary data structure in Python. By the end of this video you will have a clear understanding of what dictionaries are and how to work with them in Python.

This video will teach you about the set data structure in Python. By the end of this video you will have a clear understanding of what sets are and how to work with them in Python.

This video will teach you about Python's None data type. By the end of this video you will have a clear understanding of what the None data type is in Python.

This video will recap and summarize Section 5, Types, Data Structures, and Collections.

This video will introduce Section 6, Working with Strings. By the end of this lecture you will understand the learning objectives for this section.

This video will teach you about single, double, and triple quotes with strings. By the end of this lecture you will learn how to create strings using single, double, and triple quotes and the subtleties of each.

This video will teach you what substrings are in computer programming. By the end of this lecture you will understand what substrings are and the role that they play when working with strings in computer programming.

This video will teach you about indexing and slicing with strings. By the end of this video you will understand what indexing and slicing are and how to index and slice strings in Python.

This video will teach you about functions that Python supports for working with strings. By the end of this video you will understand how to use the string functions that Python supports.

This video will teach you what string concatenation is and how to use it in Python. By the end of this video you will understand what concatenating strings means and how to concatenate strings in Python.

This video will recap and summarize Section 6, Working with Strings.

This video will introduce Section 7, Python Math Module. By the end of this lecture you will understand the learning objectives for this section.

This video will introduce you to Python's math module. By the end of this video you will understand the role that the math module plays in Python programming.

This video will teach you about the constants that Python's math library supports. By the end of this video you will be able to identify and understand some useful constants that you can use when programming in Python.

This video will teach you about some of the various Number-Theoretic and Representation Functions that Python's math library supports. By the end of this video you will understand what these functions do and have experience using them in Python programs.

This video will teach you about some of the various Power and Logarithmic Functions that Python's math library supports. By the end of this video you will understand what these functions do and have experience using them in Python programs.

This video will teach you about some of the various Trigonometric Functions that Python's math library supports. By the end of this video you will understand what these functions do and have experience using them in Python programs.

This video will teach you about some of the various Angular Conversion Functions that Python's math library supports. By the end of this video you will understand what these functions do and have experience using them in Python programs.

This video will teach you about some of the various Hyperbolic Functions that Python's math library supports. By the end of this video you will understand what these functions do and have experience using them in Python programs.

This video will recap and summarize Section 7, Python Math Library.

This video will introduce Section 8, Working with Date and Time Data in Python. By the end of this lecture you will understand the learning objectives for this section.

This video will teach you about Python's datetime class. By the end of this video you will understand what the datetime class is and how to work with it in Python.

This video will teach you about Python's date class. By the end of this video you will understand what the date class is and how to work with it in Python.

This video will teach you about Python's time class. By the end of this video you will understand what the time class is and how to work with it in Python.

This video will teach you about Python's calendar class. By the end of this video you will understand what the calendar class is and how to work with it in Python.

This video will recap and summarize Section 8, Working with Date and Time Data in Python.

This video will introduce Section 9, Control Flow Statements and Loops. By the end of this lecture you will understand the learning objectives for this section.

This video will teach you about the if, elif, and else statements in Python. By the end of this video you will understand how to use if, elif, and else in your Python programs.

This video will teach you about for loops in Python. By the end of this lecture you will have a solid understanding of working with for loops.

This video will teach you about while loops in Python. By the end of this lecture you will have a solid understanding of working with while loops.

This video will teach you about the break statement in Python. By the end of this lecture you will understand what the break statement is and how to use it in Python.

This video will teach you about the continue statement in Python. By the end of this lecture you will understand what the continue statement is and how to use it in Python.

This video will teach you about the range function in Python. By the end of this lecture you will understand what the range function is and how to use it in Python.

This video will teach you about the else statement in Python. By the end of this lecture you will understand what the else statement is and how to use it in Python.

This video will recap and summarize Section 9, Control Flow Statements and Loops.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers a wide range of topics, from computer science basics to advanced concepts like machine learning and ethical hacking, providing a comprehensive learning experience

Includes hands-on projects such as building games, mobile apps, and hacking programs, offering practical experience and portfolio-building opportunities

Explores cybersecurity programming and ethical hacking using Python, which may be subject to legal restrictions depending on the jurisdiction

Teaches Python 2 for legacy systems maintenance, which is still relevant for some but may not be the focus for those seeking modern development skills

Introduces multiple game engines like PyGame and Panda3D, which allows learners to explore different approaches to game development with Python

Explores topics like speech recognition, data science, and machine learning, which are in-demand skills across various industries and research fields

Reviews summary

Comprehensive python with project focus

According to learners, this course offers a highly comprehensive journey through the Python programming language, covering everything from basic computer science principles to advanced topics like Machine Learning, AI, and Ethical Hacking. Students particularly appreciate the emphasis on hands-on learning through numerous practical projects that demonstrate real-world applications. Many found the course structure and the instructor's ability to explain complex concepts clearly to be largely positive, making challenging subjects accessible. While the course covers a vast array of subjects, a common remark is that it provides a broad overview rather than deep dives into specific advanced areas, which may require supplementary learning. Overall, reviewers indicate it's a solid foundation for those looking to master Python across diverse domains, though some content might feel slightly dated.

Broad coverage, but lacks depth in some advanced topics.

"While it covers many topics, some advanced areas like ML or AI are more of an introduction than an in-depth study."

"It's great for getting exposed to many areas, but if you want to master a specific field like hacking, you'll need more resources."

"The course touches on a wide range of subjects, but doesn't go into sufficient detail for some of the more complex ones."

"Good as a broad overview, but not sufficient if you need deep expertise in every area mentioned."

Provides a strong basis for various Python applications.

"This course gave me a solid foundation in Python that allowed me to pursue more specialized topics later."

"It's a great starting point if you want to explore different areas of Python programming."

"I feel much more confident in my Python skills after completing this course."

"Helped build the core programming skills needed for diverse projects."

Instructor explains complex topics clearly and effectively.

"The instructor does a great job explaining complex topics in an easy-to-understand way."

"Lectures are well-structured and the instructor's delivery is clear."

"I found the instructor's explanations of data structures and algorithms particularly helpful."

"The instructor was responsive to questions and clarified doubts effectively."

Emphasis on practical projects to solidify understanding.

"The hands-on coding and projects are the strongest part of the course for me."

"I learned a lot by actually building the projects, like the speech recognition and game examples."

"The course provides a good number of practical exercises and projects that help reinforce the concepts learned."

"Working through the various project examples helped me see how Python is used in different fields."

Covers vast Python topics, from basics to ML/AI/Hacking.

"This course is very comprehensive and covers a lot of ground, starting from the absolute basics of computer science and Python."

"I was impressed by the sheer breadth of topics covered, including networking, security, AI, ML, and game development."

"It takes you from foundational concepts to really cool, advanced applications of Python."

"Covers many different areas of Python programming which I found very helpful and insightful."

Some parts may need updating due to technology changes.

"A few sections seem slightly outdated, especially regarding libraries or specific frameworks used in the projects."

"Given the pace of change in AI/ML, some content felt like it could benefit from a refresh."

"I had to look up newer versions of some libraries to get the code working correctly."

"The core Python concepts are solid, but application-specific modules might not be the latest versions."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Ultimate Python - ML, AI, Hacking, Speech Recognition & more with these activities:

Review Data Structures and Algorithms

Show steps

Reinforce your understanding of fundamental data structures and algorithms. This will provide a solid foundation for the more advanced topics covered in the course, such as game development and machine learning.

Show steps

Review common data structures like lists, dictionaries, and sets.
Practice implementing basic search and sort algorithms.
Work through practice problems on HackerRank or LeetCode.

Review 'Python Crash Course'

Show steps

Solidify your Python fundamentals with a project-based approach. This will reinforce your understanding of core concepts and prepare you for the more advanced topics covered in the course.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

Show steps

Work through the projects in the book.
Experiment with different code variations.
Apply the concepts to your own projects.

Review 'Automate the Boring Stuff with Python'

Show steps

Learn practical Python skills for automating tasks. This will complement the course's project-based approach and provide you with valuable real-world applications of Python.

View Automate the Boring Stuff with Python, 3rd... on Amazon

Show steps

Read the chapters related to file handling and web scraping.
Try the exercises at the end of each chapter.
Adapt the examples to automate your own tasks.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a Simple Text-Based Game

Show steps

Apply your Python skills to game development. This will reinforce your understanding of control flow, data structures, and object-oriented programming, all of which are essential for the 2D and 3D game development projects in the course.

Show steps

Design a simple game with clear rules and objectives.
Implement the game logic using Python.
Add user input and output to make the game interactive.
Test and debug your game thoroughly.

Create a Python Cheat Sheet

Show steps

Consolidate your knowledge of Python syntax and concepts. This will serve as a valuable reference tool throughout the course and beyond.

Show steps

Review the key concepts covered in the course.
Organize the information into a concise and easy-to-read format.
Include code examples and explanations.
Share your cheat sheet with other students.

Follow a Selenium Web Driver Tutorial

Show steps

Deepen your understanding of web automation with Selenium. This will prepare you for the AI project that plays online games automatically.

Show steps

Find a reputable Selenium tutorial online.
Set up your development environment.
Work through the tutorial step-by-step.
Experiment with different web elements and actions.

Contribute to an Open Source Project

Show steps

Gain real-world experience by contributing to an open-source Python project. This will expose you to best practices, collaboration, and the challenges of working on a large codebase.

Show steps

Find an open-source Python project that interests you.
Read the project's documentation and contribution guidelines.
Identify a bug or feature you can work on.
Submit a pull request with your changes.

Career center

Learners who complete Ultimate Python - ML, AI, Hacking, Speech Recognition & more will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. The curriculum that this course provides helps build a foundation for this role. Machine learning engineers need to understand how to use programming languages to create sophisticated models, and the featured modules on Machine Learning are directly relevant. A Machine Learning Engineer can use the material to apply machine learning techniques to real-world problems, especially given the hands-on approach of the course. The coverage of data structures and algorithms is also advantageous for optimizing model performance. The course's focus on practical projects, such as speech recognition programs and AI bots, offers tangible experience that a Machine Learning Engineer can immediately leverage.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Developer

An Artificial Intelligence Developer creates intelligent systems and applications. If you are interested in becoming an Artificial Intelligence Developer, this course provides relevant material. An AI developer needs to be able to understand how to design and implement AI algorithms, and the modules on Machine Learning and AI are valuable. Additionally, the course's coverage of topics like speech recognition, game playing bots, and automation aligns perfectly with the types of projects that an Artificial Intelligence Developer might undertake. The work with data structures and algorithms is indispensable for optimizing the runtime of AI applications. The hands-on nature of the course, including building real projects, will give an Artificial Intelligence Developer real experience.

See salaries and explore the career path for Artificial Intelligence Developer

Software Engineer

A Software Engineer designs, develops, and tests software applications. This course provides a solid foundation for becoming a Software Engineer. The course's comprehensive coverage of Python, combined with the data structures, algorithms, and object-oriented programming modules, helps build the fundamental skills necessary for excelling as a software engineer. The numerous hands-on projects, including game development, mobile apps, and network communication programs, offer practical experience in various software engineering domains. A Software Engineer can use the lessons on debugging, testing, and code documentation to ensure the quality and maintainability of a software project.

See salaries and explore the career path for Software Engineer

Data Scientist

A Data Scientist analyzes and interprets complex data to identify trends and insights. This course helps build a basis for this role. A data scientist needs to be adept at using programming languages to manipulate and analyze data, and the modules on Data Science and Machine Learning provides applicable knowledge. The course's coverage of data structures and algorithms, combined with the hands-on projects, will help a Data Scientist apply the knowledge immediately. The course's tutorials on parsing data formats like XML and JSON are directly applicable to common data science tasks. The work with strings and regular expressions will be valuable for cleaning and preprocessing data.

See salaries and explore the career path for Data Scientist

Cybersecurity Analyst

A Cybersecurity Analyst protects computer systems and networks from cyber threats. This course includes useful information to assist one in this role. A cybersecurity analyst benefits from being able to understand programming for security applications, and the module on cybersecurity programming and ethical hacking is especially relevant. This course will help a Cybersecurity Analyst to use this knowledge to analyze vulnerabilities, develop security tools, and respond to security incidents. The course's coverage of networking and socket programming is useful for understanding network security concepts. The Python programming language skills taught throughout provide a foundation for automating security tasks and analyzing malicious code.

See salaries and explore the career path for Cybersecurity Analyst

Game Developer

A Game Developer creates video games for various platforms. This course offers useful skills for anyone interested in becoming a Game Developer. Game developers need to understand how to use programming languages to create interactive game experiences, and the modules on game development using PyGame and Panda3D are very relevant. One who wishes to become a Game Developer can use the knowledge to design and implement game mechanics, create graphics and animations, and optimize game performance. The course's coverage of topics like data structures and algorithms is valuable for efficient game programming. Furthermore, this course includes many hands-on projects involving the building of real games such as Galaga, Batman, and Super Mario.

See salaries and explore the career path for Game Developer

Automation Engineer

An Automation Engineer designs and implements automated systems and processes. This course helps build a foundation for this role. Automation engineers need to be able to understand how to write code to automate tasks, and the modules on Python task automation and robotic process automation are especially valuable. One who wishes to become an Automation Engineer can use the knowledge to streamline workflows, improve efficiency, and reduce manual effort. The course's coverage of shell scripting and network communication provides valuable context for automating system-level tasks. The skills learned in this course are essential for automating repetitive tasks across various industries.

See salaries and explore the career path for Automation Engineer

Mobile Application Developer

A Mobile Application Developer creates applications for mobile devices. This course offers relevant skills for this role. A mobile application developer benefits from being able to understand how to use cross platform tools to create Android and iOS applications, and the module on mobile app development is extremely valuable. The hands-on approach from this course will assist a Mobile Application Developer in building mobile apps that users can install on a mobile device. The knowledge of GUI development with TKinter is beneficial. The course's focus on building real projects will give a Mobile Application Developer tangible experience.

See salaries and explore the career path for Mobile Application Developer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This course may be useful for building a foundation for this role. A full stack developer benefits from being able to understand how to create server-side logic, work with databases, and build user interfaces, and the modules on web development with Selenium and network communication may apply. With what they learn from this course, a Full Stack Developer can create a full web application. The course's coverage of data structures and algorithms, as well as object-oriented programming, will be helpful when building scalable and maintainable web applications.

See salaries and explore the career path for Full-Stack Developer

Data Analyst

A Data Analyst collects, processes, and analyzes data to extract meaningful insights. The material in this course may be useful to a Data Analyst. Data analysts benefit from understanding how to use programming languages to manipulate data, perform statistical analysis, and create visualizations, and the modules on data science and machine learning provide applicable knowledge. With the skills learned from this course, Data Analysts can clean and transform data, perform exploratory data analysis, and build dashboards to communicate findings. The work with strings and regular expressions can assist with cleaning up messy datasets.

See salaries and explore the career path for Data Analyst

Robotics Engineer

A Robotics Engineer designs, builds, and programs robots for various applications. A robotics professional needs to be able to understand how to control robots using software, integrate sensors and actuators, and develop algorithms for robot navigation and manipulation. Considering that this course teaches one how to write programs that automate virtual keystrokes and mouse clicks via robotic process automation, this course may be valuable.

See salaries and explore the career path for Robotics Engineer

Quality Assurance Engineer

A Quality Assurance Engineer tests software to identify and prevent defects. This course may be helpful in providing a foundation for this role. A quality assurance engineer benefits from being able to understand how to write code to automate tests, analyze test results, and identify potential issues. The modules on debugging and testing can be useful. With the understanding they gain from this course, Quality Assurance Engineers can write automated tests, analyze test results, and identify potential issues. They develop automation frameworks and scripts to ensure the reliability and performance of software products.

See salaries and explore the career path for Quality Assurance Engineer

Technical Artist

A Technical Artist bridges the gap between artists and programmers in game development. This course may be relevant, especially for those who want to use Python in conjunction with art creation. The course includes information about the Blender 3D creation suite. Technical artists need to be able to use scripting languages to automate tasks, create tools, and optimize art assets. With knowledge gained from this course, the Technical Artist can streamline workflows, improve efficiency, and enhance the visual quality of games.

See salaries and explore the career path for Technical Artist

Educator

An educator teaches students about computer science and programming. If an educator is tasked with instructing students on the Python programming language, this course may be valuable. Educators need to understand how to convey complex concepts in a clear and engaging manner. The different topics of the course can be reviewed by the educator for this purpose. With the knowledge gained from this course, the educator can prepare lessons, create assignments, and assess student progress.

See salaries and explore the career path for Educator

Project Manager

A project manager plans, executes, and closes projects. While seemingly unrelated, this course may be helpful for project managers that deal with software engineers. Project managers benefit from understanding how to use project management methodologies, communicate with stakeholders, and manage risks. With the knowledge gained from this course, the project manager can gain a better understanding of software development and improve communication with their team. This course may only prove useful to project managers in specific roles.

See salaries and explore the career path for Project Manager

Ultimate Python - ML, AI, Hacking, Speech Recognition & more

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Comprehensive python with project focus

Activities

Career center

Reading list

Share

Similar courses