Artificial intelligence is driving the technological revolution, and experts in this field believe it has the potential to be the game-changing technology that will change the world. If you want to pursue a career in artificial intelligence, Python is one of the most important skills you should learn.
If you want to learn Python for artificial intelligence, you must understand what Python is and how it can be used across multiple fields in the technology industry. This article will cover the quickest and most dependable educational paths for learning Python, as well as a step-by-step guide for learning Python for artificial intelligence.
What Is Python?
Python is an object oriented, interpreted general-purpose programming language. It is one of the most popular programming languages in the industry and also one of the easiest to learn. Whether you’re a beginner or expert programmer, you can learn basic Python within a short time and use it for small, medium, or large-scale projects.
While this article focuses on learning Python for artificial intelligence, this is just one of the many applications of the programming language. Python is a popular language used in web application development, website development, exploratory data analysis, data analytics, natural language processing, reinforcement learning, game development, and machine learning.
What Is Python Used for in Artificial Intelligence?
Python can be used to create AI-based programs in the simplest and most efficient manner. It is important to note that artificial intelligence necessitates more than just basic Python programming skills. You will need to learn advanced Python. AI involves complex algorithms and versatile workflows, but Python makes this easier.
One of the best Python frameworks used for AI coding is Scikit-learn, a machine learning Python library. Scikit-learn can be used to create algorithms for classification, regression, and clustering. Advanced AI developers note that Python is an intuitive language for development, especially when compared to other programming languages like C++.
How Long Will It Take to Learn Python for Artificial Intelligence?
It will take between five to ten weeks to learn Python for artificial intelligence, depending on your current experience with programming. This means that someone who already knows how coding works and has a basic knowledge of algebra, computer science, and high-level computations can learn in less time than someone with no previous experience.
Several factors influence how long it takes to learn Python, but the most important is your determination and learning path. The more committed you are to completing the program, the more time you will devote to studying, and the faster you will become a professional Python AI developer.
Why Should You Learn Python for Artificial Intelligence?
You should learn Python for artificial intelligence because it is one of the most highly rated programming languages by experts in the field. Unlike C++, Python code is similar to the English Language, making it easy for beginners to learn. Check out the list below for specific reasons to learn Python for artificial intelligence.
Impressive Earning Potential
Artificial intelligence professionals in the United States are among the highest-paid in the tech industry. ZipRecruiter notes that these experts earn an average wage of $132,150 with some experts getting as much as $231,500. These figures are from people who work in tech firms and could be influenced by many other variables such as location and job description.
There is little limit to how much you can earn annually if you work as an independent consultant or freelancer who isn’t affiliated with any company. If you have a great product idea that attracts investors, you can even start your own company.
Professional Development and Recognition
The AI industry has made great strides in the last two decades, but it is still an emerging technology. This implies that the technology’s full potential has yet to be realized. As a result, if you work in AI research and development, you will have a good chance of achieving significant professional recognition throughout your career.
Additionally, evidence indicates that the versatility of artificial intelligence and complex machine learning across industries will continue to grow in the coming years. As a result, you need not fear losing your job as a result of a decline in demand for the technology. It is not going away anytime soon.
Almost Limitless Resources
JavaScript is the only programming language with comparable resources to Python. Python is a popular language with a variety of resources, most of which are free. Python contains thousands of libraries, frameworks, functions, and modules that can be used in AI projects. Collaborative tools like Jupyter Notebooks are perfect to help you excel in your career.
Companies like Intel, IBM, Facebook, NASA, Pixar, JP Morgan Chase, Spotify, and Netflix all use Python for their artificial intelligence, machine learning, and data science projects. Python has even been used by Nasa developers for their projects. Most importantly, learning Python for AI makes changing careers much easier because it can be used in a variety of tech fields.
How Can I Learn Python for Artificial Intelligence?
There are several options available for learning Python AI. If you are a recent high school graduate, you may want to consider pursuing a computer science degree with a specialization in artificial intelligence. However, degrees take time and significant amounts of money. Here are some shorter, more affordable, and more accessible ways to learn AI Python.
Coding Bootcamps
Coding bootcamps are all the rage in the tech industry today if you prefer supervised learning. Employers believe in them because they offer job-specific training based on the most in-demand technologies in the industry. You can apply to top artificial intelligence bootcamps online. Some great options include BrainStation, The Tech Academy, and Simplilearn.
These bootcamps teach you not only how to use Python for AI projects, but also how to develop the necessary soft skills to thrive in the tech industry. Bootcamps typically last three to six months, have flexible financial aid options, and often offer career services to help students get started after graduation.
Online Courses
You’ve probably heard of massive online open courses. These are affordable online courses offered by companies such as Coursera, Udemy, and Pluralsight. These platforms also offer a slew of Python AI courses, often with special offers to keep costs down. These courses are typically available to anyone with an internet connection and a computer.
You can start with beginner courses and move to advanced courses at your own learning rate. Some courses will provide a basic introduction to necessary topics including logistic regression, linear regression, vectors, factor analysis, predictor variables, and how to make a correct prediction. Advanced courses might cover how artificial intelligence can mimic the human brain.
Books
Books with activities are great for learning Python for artificial intelligence. The best books cover everything you need to know from the fundamentals of Python and artificial intelligence and machine learning to more complex courses on advanced AI and deep learning models.
You can find the best books online and read them whenever it is convenient for you. Artificial Intelligence with Python by Prateek Joshi and Artificial Intelligence with Python – Second Edition by Alberto Artasanchez are two books to consider.
Top Python for Artificial Intelligence Libraries
A Python library is a collection of lines of code and other resources designed to shorten development time and boost efficiency during production. Thanks to the ever-growing Python community, libraries for machine learning and AI are always growing. Libraries are open-source and accessible to anyone. The top five Python artificial intelligence libraries are listed below.
- TensorFlow
- Keras
- Pandas
- SciPy
- NumPy
TensorFlow is one of the best Python libraries for building models with data flow graphs in the technology industry. Keras is a Python-based library for building user-friendly deep neural networks. Pandas is great for data analysis and manipulation. SciPy is the gold standard for technical and scientific computing, while NumPy is great for working with arrays.
How to Learn Python Artificial Intelligence: A Step-by-Step Guide
You can become a Python AI developer in a matter of months if you take the right steps. These steps go beyond simply learning Python and artificial intelligence and how the two technologies interact. To promote your skills and get paid for what you can do, you must take actionable steps. These essential steps are outlined below.
Learn Python as a Programming Language
Python is a programming language, which means you must learn its syntax and operation. You can start by writing a Python code snippet for simple commands. You can use Python to create an excel spreadsheet or dashboard to test your coding skills. You will need to master semantics, simple syntax, and other similar concepts as you learn how Python works.
The internet is brimming with infinite resources for learning the fundamentals of Python as a programming language. If you want structure, you should learn from online courses or coding bootcamps.
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Learn Python for Artificial Intelligence
Next, you need to learn about artificial intelligence and understand the basics of machine learning algorithms in Python. Python will be the source code for your AI-based projects. You’ll use Python as the scripting language for developing smart intelligent systems and unsupervised learning algorithms, such as AI assistants in homes, phones, and self-driving cars.
To make Python work for artificial intelligence, you need to learn how to use resources like Pandas, PyTorch, TensorFlow, NumPy, and SciPy. These libraries, along with many others, provide everything you need to complete successful AI development projects.
Attend a Bootcamp
After you’ve grasped the fundamentals of Python and Artificial Intelligence principles, you might consider taking things to the next level by enrolling in a Python bootcamp. When compared to a four-year online degree program, this would save you time and money.
Organize Your Portfolio
During your journey to becoming a Python AI developer, you will create projects at different levels of development. Make sure you organize a portfolio of your most successful projects and expressive programs during the timeframe. It doesn’t matter if it is a beginner or advanced-level project. As long as the project was successful, you should write about it.
Your project portfolio is a digital badge of honor made of a collection of all your AI projects, contact details, and social proof of your work over the years. The stronger your project portfolio, the more likely you are to get clients and full-time jobs. So, make sure you attach a link to your portfolio in your resume.
Start Applying for Paid Jobs
You should start looking for paid jobs now that you’ve become a professional AI expert. If you are unable to find a full-time job with a reputable company, you can begin freelancing. For a fee, several freelancing platforms connect AI developers with clients.
If you opt for freelancing, make sure you ask your clients for positive feedback and testimonials that other prospective clients can reference. You can include these testimonials in your portfolio to enhance your credibility.
Start Learning Python for Artificial Intelligence Today
Artificial intelligence is one of the highest-paying fields in the tech industry with a tangible career benefit. According to ZipRecruiter, machine learning experts earn up to $126,249 annually, with salaries as high as $199,000. There are few limitations of machine learning and artificial intelligence, so there is plenty of space for your career to develop.
Consider how artificial intelligence algorithms are changing the world. You would be doing your work with cutting-edge technology while earning a substantial amount of money each year. Whether you wish to work for corporate research organizations or develop automatic speech recognition systems or self-driving cars, there is space in this field for you.
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