General knowledge of computing, biology, mathematics and physics
Overview
This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development.
You will learn what is Artificial Intelligence (AI) and what is the relationship of AI with Machine Learning and Deep Learning.
You will also learn how AI test automation tool uses machine learning to speed-up the authoring, execution and maintenance of automated tests.
Requirements
All should need to know is What is importance of Software Testing and What is the benefits of implementing Test Automation over manual testing.
Description
Introduction to Artificial Intelligence in Software Testing course talks about basic fundamentals of Artificial Intelligence (AI) and the future of Automated Testing with AI Machine Learning.
This course is designed for both testers and developers. This course is also great for anyone who want to learn Artificial Intelligence in Software Testing. Once again this is very basic course but if you want to learn more in detail then please see my other course called “Artificial Intelligence (AI) in Software Testing (The Future of Automated Testing with Machine Learning – Implementing Artificial Intelligence (AI) in Test Automation)“.
This course will teach you how AI-assisted test automation can transform the UI. This course will also teach you Artificial Intelligence (AI) and it’s relationship with Machine Learning and Deep Learning.
After you have completed this course you should be able to teach your friends or coworkers the importance of Artificial Intelligence in Software Testing. You should also host the lunch and learn session for your friends or coworkers.
Who this course is for:
This course is designed for both testers and developers.
Anybody who want to learn Artificial Intelligence in Software Testing.
Course content
5 sections • 7 lectures • 29m total lengthExpand all sections
Introduction1 lecture • 2min
Course Introduction01:30
Introduction to Artificial Intelligence (AI)1 lecture • 5min
What is Artificial Intelligence (AI)?05:15
Artificial Intelligence (AI) in Software Testing2 lectures • 17min
What is AI in Software Testing?04:51
AI Test Automation Demo using Testim11:39
Conclusion1 lecture • 2min
Is it time for Testers or QA Teams to worry about AI?01:34
Bonus Lecture: Robotic Process Automation (RPA) vs Artificial Intelligence (AI)2 lectures • 5min
Building stronger foundations for learning futuristic technologies such as Machine Learning, Artificial Intelligence etc.
Understand and learn how to create your own efficient python basic programmes
Understand latest python 3
Requirements
Not at All ! An absolute beginner can also start with the course very easily.
A computer – Windows, Mac, and Linux are all supported.
A great zeal to learn this new skill and apply very soon in practical world.
Description
Are you looking for exactly where to begin while learning Python? This course is specifically designed for the students who are genuine seekers for learning python language. The structure is prepared as follows so that it’s most convenient for any beginner to start with:
1. Firstly, I have created detailed Classroom Discussion sessions with my own handwriting so that you understand exactly all the fundamentals and concepts of python.
2. Secondly, Practice sessions of all the discussions have be prepared so that you understand the language better while coding in real life along with me.
3. Lastly, I have shared the practice files and resources to test, whether you have exactly understood whatever I tried to teach in classroom as well as practice sessions.
Most Importantly, It’s Worth your time.
The Structure and Contents of the course are listed in details for your reference before you start this Exciting Journey of Python Programming:
1. Introduction to World of Python
2. Basic Set-up for absolute beginner
3. Classroom Discussion About Strings
4. Practice of Strings Data Type
5. Classroom Discussion about Variables and Data Type
6. Practice of Variables and Data Type
7. Classroom Discussion about Numeric Operators
8. Practice of Numeric Operators
9. Classroom Discussion about Expressions and Operator Precedents
10. Practice of Expressions and Operator Precedents
11. Classroom Discussion about Indexing in Strings
12. Practice of Indexing in a String
13. Classroom Discussion about Slicing out of a String
14. Practice of Slicing out of a String
15. Classroom Discussion about Slicing with Negative Index Positions
16. Practice of Slicing with Negative Number Index
17. Classroom Discussion about Step-in with Strings
18. Practice of Step-in with Strings
19. Classroom Discussion about String Operators
20. Practice of String Operators
21. Classroom Discussion about String Replacements
This course is designed for first time python learners. We have created a syllabus which curates for the need of an absolute beginner to Python. We have provided crystal clear explanations and relevant examples wherever needed. This course may help you shape problem solving skill in real life situations.
This course is designed for newbies only. If you are experienced, then this is not for you. Also, if you want to get a job as python developer or want to join internship in python. This course would be helpful for those as well. Feel free to ask if you have any questions. Apart from lectures, I’ll be sharing quizzes later.
If you learn coding, it enhances your personality and also provides you with a new way of looking at things. It enhances your logical reasoning skills. Overall, this course is good for school kids as well.
Once you learn python, it opens the door to many new opportunities like data science, machine learning, data analytics, artificial intelligence, and what not. Grab this opportunity to learn this great language and be awesome.
Note: Nowadays our attention span has reduced drastically. Hence, I would suggest going through each video at least thrice to get optimal benefit out of this course. Keep your pen and paper handy for taking notes or taking down important points.
Understand Python fundamentals such as print, input, data conversion, if statement
Programming with confidence
Be ready to learn advanced Python programming
Requirements
This course is for absolute beginners! No programming experience is required. If you can surf online, you are good to go.
Description
Python programming is fun and useful, but starting from zero can be intimidating.
This course is designed to remove the intimidation factor of Python programming. It is for elementary or secondary students who are curious about Python programming, or who are scared of programming. The course provides bite-size videos. Each video covers one topic in about 10 minutes. The coding demos will show every steps. You can easily follow along and start to write Python programs.
There is no jargons, just plain explanations!
If you’re an adult and want to have a taste of Python programming, this is for you as well. Who would mind a quick and easy start?
The students will
Start with the general concept of Python, such as what it is and what it can do.
Learn how to install required software for Python programming.
Learn basic Python statements, such as print, input, data conversion, and if statements.
Practice Python coding.
Take pop quizzes to check knowledge understanding.
Write chatbot and math quiz programs.
After the course, the students will be able to:
Understand the general programming concept and process.
Understand what domains Python can be used.
Get comfortable with Visual Studio Code (Integrated Development Environment).
Understand Python fundamentals.
Ready for more advanced Python programming.
Who this course is for:
This course is for absolute beginners! It’s for everyone who wants to learn Python or who is scared of programming.
Enter the world of Neural Networks and Financial Forecasting with this free course.
Can you forecast the returns of your favorite stock using Machine Learning?
Artificial Intelligence is certainly changing the world:
From the way we get our content, autonomous driving, medical advances to art creation.
Financial Machine Learning is one of the industries with a bigger impact on these technologies, from Roboadvisors to Algorithmic Trading.
Most recommendations made by firms are based on Artificial Intelligence nowadays, rendering most conventional analysts useless.
The same happens for traders, not many years ago trading was done manually, currently a huge share of the market is being traded by AI.
These advances have changed the game, gaining insight with edges the human eye can’t see anymore.
While the biggest financial institutions have been trading using Artificial Intelligence for years, most retail traders don’t know how to use nor benefit from them, we are here to change that.
Roll up your sleeves with this hands-on project where you are going to learn by doing and interacting with code, completely from scratch.
In this course you are going to learn how to:
Download Historical Data from your code, automatically.
Prepare your data with the most suitable indicators.
How to label and prepare data to feed our model.
Prepare a Neural Network.
Evaluate models.
Backtest your ML Model.
Create accurate stock forecasts.
We hope you enjoy this course.
Genbox Trading
Who this course is for:
traders and coders who wants to use Machine Learning
Python programming starting with the basics along with practice of different programs on python software
Requirements
No prerequisites. Just desire to learn new things.
Description
Because of globalization and digital transformation the world of work is changing dramatically. And to cope up with this high Expectations of Marketplace, we will have to learn new skills.
Nowadays we are surrounded by all smart devices. This intelligence is emerged into these devices using programming.
There are many programming languages but we are going to learn a very simple but yet powerful programming language which is known as python. Python is used in many advanced applications nowadays like website development, artificial intelligence, robotics and many more.
After completion of this course, students will be able to install the python software on their system. They will be able to use different variables and use different operations on them according to the requirement. The requirements and the aim of programs are given. The students will be able to accept the input from user and use it in their program. They will also be able to use conditional expressions. The whole procedure to type the program, save it and to run it is shown. Using these hands on sessions, the confidence to run the program will be developed in the students. Also the logic development skills and critical thinking skills of the learners will be surely enhanced.
Who this course is for:
Engineering students, diploma students, enthusiastic school students
Master the complete basics of Python that will help you widely to work with latest tech fields AI, ML, Robotics, WebDev
Requirements
A computer with any operating system with internet connection
Description
Python Masterclass 2021: Python for Everything[AI+ML+WebDev]
Master the complete basics of Python that will help you widely to work with latest tech fields AI, ML, DS-ALGO, WebDev
So why learn Python?
Python is extremely versatile, with multiple uses
Just to name a few of its most common uses, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages that perform similar functionalities like C, R, and Java. Therefore Python is growing in popularity as the primary language for many applications.
Python uses in Data Science and Machine Learning
Historically, the R programming language is most commonly used for data science. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science – especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark – a framework for easily working with large data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in the world’s largest and most sophisticated companies. Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions
Who this course is for:
Beginner Python Developers Curious about Development in Python
Gain a basic understanding of Python programming language and its syntax
Learn how to create and manipulate variables in Python
Understand control flow statements, loops, and conditional statements
Explore the different data types in Python and how to use them effectively
Learn how to write and execute simple Python programs on your own
Get familiar with basic file handling and input/output operations in Python
Learn how to write functions and reuse your code for efficiency
Discover the practical applications of Python in different industries and fields.
Requirements
No programming experience needed. You will learn everything you need to know.
Description
Are you looking to add valuable skills to your resume and stay ahead in today’s ever-evolving job market? Are you interested in learning the fundamentals of programming but feel intimidated by complex computer science topics?
Our beginner’s Python course is the perfect solution to help you achieve your goals. With our easy-to-follow and practical approach, you’ll learn the basics of Python programming language in no time, even if you have no prior experience in programming.
In this course, you’ll gain hands-on experience in setting up your Python environment, writing and debugging simple programs, using control flow logic, and creating structured, interactive programs that deliver real value. These skills are not only essential for success in the tech industry but also applicable in fields such as data analysis, finance, and scientific research.
Whether you’re a student, recent graduate, or someone looking to freshen up on their skills, our course is designed to help you unlock your potential and take the next step in your career. By completing this course, you’ll be able to confidently list Python programming as a skill on your resume, setting yourself apart from other candidates.
Don’t miss out on this opportunity to acquire a valuable and in-demand skill. Enroll now and take the first step toward achieving your goals with Python programming.
Who this course is for:
Beginners who want to learn how to program with Python quickly and effectively
Students who want to gain basic Python programming skills for academic or professional purposes
Professionals who want to enhance their skill set and learn a new programming language to help them in their career
Anyone who wants to automate repetitive tasks, analyze data, or build simple applications using Python
Entrepreneurs or business owners who want to learn a new skill that can help them improve their products or services
Anyone interested in pursuing a career in data science, artificial intelligence, machine learning, or web development
People who want to learn a versatile and powerful programming language that can be applied to different fields and industries.
You’re going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence.
Requirements
This is an intermediate level course. You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.
Description
You’re going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence. This is a hands-on course and you will be working your way through with Python and Jupyter notebooks.
What you will learn:
Basic concepts of neural networks (refresher)
The perceptron
Single-layer neural network
Multi-layer neural network
Recurrent neural networks (RNN)
Optical character recognition (OCR)
Who this course is for:
This course is for you if want to learn practical machine learning
This course is also for you if you’re a machine learning professional or work in a management position and want to expand your technical knowledge in the field
If you’re a student, know some programming and want to learn about artificial neural networks with lesser know libraries, this course is also for you
