Beginners who are just starting their artificial intelligence learning journey may have questions and concerns about what it takes to get started. It’s important to build a solid foundation of knowledge that can be built upon with more practical, advanced skills that align with your interests and goals. Typically, you’ll begin by learning a few key concepts and terminology related to artificial intelligence, such as neural networks, computer vision, and natural language processing. You’ll then explore more specific topics, such as statistics, programming, data management, machine learning, and model maintenance. However, you may still wonder how you can learn all this new information. Depending on your objectives, you may want to start with a short, beginner-level course or jump into a certificate program that will gradually guide you through all levels of advancement. Once you’ve taken the first steps and feel comfortable, you can expand your horizons and understanding of artificial intelligence. Professional, live training is generally regarded as the best way to learn any new skill, including artificial intelligence. Getting started is half the battle, so it’s important to consider how you’ll take the first step as a beginner.
Getting Started with Artificial Intelligence
Before you start learning artificial intelligence, you will need access to or knowledge of a few key concepts and tools before you begin. Most important is the access to the necessary tools. Many artificial intelligence tools are free, such as ChatGPT, Google Colab, and Jupyter Notebooks. However, you’ll also need access to certain software and platforms that may come with a subscription service or a one-time purchase. In addition, a code editor will be helpful for writing, editing, and handling code. A commonly used open-source code editor like Visual Studio Code will be a useful tool. Aside from the specific tools, you will need access to a strong internet connection, particularly if you enroll in a live online course. Having an updated computer that can handle the software and tools you will use is a given, but if you do not have access to this you will likely have access to a computer lab in your live course.
Aside from the tools, it will help if you have certain skills before studying artificial intelligence. If you are familiar with basic programming concepts (like coding with Python) and mathematics (such as algebra, statistics, and calculus), you will likely have less difficulty while learning artificial intelligence. Likewise, if you already studied data analysis or data science, you will have relevant skills and quickly pick up on how to automate data manipulation and processing tasks. While knowledge of these tools and subjects is not necessarily required to learn artificial intelligence, you will inevitably have to learn them. Therefore, it’s useful to have a solid foundation before you shift into artificial intelligence training.
.png)
AI Classes
- Live & Hands-on
- In NYC or Online
- Learn From Experts
- Free Retake
- Small Class Sizes
- 1-on-1 Bonus Training
Named a Top Bootcamp by Forbes, Fortune & Time Out
The First Steps when Learning Artificial Intelligence
When you first start learning artificial intelligence as a beginner, you will start by studying a few core skills that are essential to becoming proficient. The first may include the fundamentals of programming, including various languages like Python, R, and JavaScript. Additionally, you’ll learn to navigate their corresponding libraries and frameworks, such as Scikit-Learn, PyTorch, and TensorFlow. These are the most commonly used and beginner-friendly languages, so even as a total beginner, you should be able to learn quicker than expected. Throughout your first lessons, you’ll practice writing code, debugging, and implementing artificial intelligence models. These skills are essential for the creation of artificial intelligence models and data manipulation. Without this knowledge, you won’t be able to create and use artificial intelligence to the fullest advantage, such as developing neural networks, automating tasks, and evaluating models.
Additionally, you’ll practice mathematical concepts such as calculus, probability and statistics, and algebra. Artificial intelligence algorithms are built upon mathematical understanding and are required to evaluate their performance and identify any errors. Proper mathematics training will enable you to improve your artificial intelligence models over time and apply techniques to recognize patterns from data. In turn, this allows you to make smarter decisions based on the insights drawn from said data. You’ll study these main mathematical subjects to understand how neural networks operate, perform regression analysis, and evaluate and optimize models.
Finally, it’ll be imperative that you learn data management. This will include how to collect, cleanse, and analyze large data sets to ultimately enhance the performance of artificial intelligence models. By learning how to compile data from various APIs, databases, websites, and platforms, you can then prepare it for analysis. From there, you’ll identify trends, draw insights, and further train the artificial intelligence models so that their performance is improved continuously over time. This is a foundational skill for artificial intelligence training as it can automate tasks, make data handling far less strenuous, optimize workflow, and enable artificial intelligence models to perform at higher, more successful rates.
Free Artificial Intelligence Tools for Beginners
If you are interested in learning artificial intelligence, you can find a few key tools to support you that come at no additional cost. To help you get started, you may start with basic free resources online. This may include websites, videos, chatrooms, and blogs that give you a solid understanding of the basics. Additionally, you may find free lectures, tutorials, and courses on different training center websites. If you already have advanced computer skills, it’s possible to use machine learning frameworks as a study tool. You can use TensorFlow, Keras, PyTorch, or Scikit-Learn to explore new ways to develop prototypes, analyze large data sets, or build and train artificial intelligence models.
Additionally, many coding platforms are open-source, meaning they are free for anyone to use. Tools such as Google Colab and Jupyter Notebooks are commonly used open-source applications that enable you to write code, develop numerous tools, and create data visualizations. Using a free resource to prepare for an artificial intelligence course is a solid way to build a foundation in artificial intelligence and related tools. With experimentation and continued exposure to the products and material, you will feel more prepared to start your learning process or continue to advance in your skills.
Live Artificial Intelligence Training for Beginners
Live classes are often considered the most valuable approach to learning artificial intelligence as a beginner. One of the most significant benefits is the classroom interaction. You will be fully immersed in an academic setting and explore new concepts with the instructor and your like-minded peers. Having the ability to immerse yourself in artificial intelligence concepts in a supportive environment is invaluable. Additionally, the instructor can give each student personalized feedback in real-time, which isn’t afforded to on-demand students or self-taught individuals. Plus, these benefits apply whether you choose an in-person or live online course. This allows students to explain any confusing concepts, address misconceptions, and receive advice on projects or future endeavors.
Another reason live training is the best option for beginners is the structured learning environment and organized curriculum. Because each course comes equipped with a syllabus, schedule, and general guidelines, you know what to expect and can prepare accordingly. You’ll start with the basics relevant to your subject and level of advancement before moving on to more complex topics. Additionally, the classroom structure is familiar yet engaging thanks to the discussions and hands-on projects. Between the structure, practical experience, and continued exposure to the material, students don’t have to worry about failing to retain the information. As a result of this course style, students can anticipate what comes next, manage their coursework with ease, and feel like the learning process is far less strenuous.
In addition to the interaction, structure, and hands-on experience, students can learn important soft skills that they will need if they choose to turn their artificial intelligence training into a profession. The first is collaboration. In a live course, you will frequently work with your peers on joint activities and participate in classroom discussions. These spirited conversations enable you to mimic what it might be like to share ideas in the workplace and the activities give you a greater sense of what it would be like working on a project with others in your department. Additionally, you will learn problem-solving and critical thinking skills that help you solve complex problems, which is especially helpful during those times when you won’t have a colleague to lean on for support. Lastly, you may have to present projects or share your ideas in class, which can give you the confidence you’ll need to do the same in the workplace. With all this in mind, it’s easy to see why live training makes successful employees and eventual leaders.
The Next Step
Once you’ve learned the basics, you may feel ready to learn more and seek advanced training options. Luckily, you have plenty to choose from, varying from university programs and certificates to bootcamps and short courses. Enrolling in a university is expensive, and although there are rarely degree programs specific to artificial intelligence, you can explore certain classes and related subjects that will give you a thorough overview of artificial intelligence and its uses, history, and theoretical concepts. However, a bootcamp or certificate course is far less time-consuming and costly while providing similar results. In this style of advanced course, you’ll go beyond the basics and receive mentorship that is designed with professional development in mind. Once you’ve reached this level, you may consider exploring certification exams to bolster your skills and eventually seek employment.
In the next level of artificial intelligence training, you’ll study more advanced techniques to build and maintain algorithms and explore neural networks more in-depth. You may also learn more refined techniques for natural language processing and computer vision to garner more precise and intricate results. Depending on the course and provider, it is possible you’ll explore the greater implications of artificial intelligence and discuss the ethics behind its use and ways to remove any bias from the models so they operate as impartially yet accurately and fairly as possible.
Of course, the more high-level training you receive, the more opportunities that await you outside of the classroom. You can find a career developing machine learning models and algorithms in virtually any industry that requires artificial intelligence expertise. Likewise, you could become a researcher and contribute to the growth of the field. These positions are available at various companies and academic institutions and allow you to explore new theories, build models, and assist in the creation of applications. Additionally, you may be able to work as an artificial intelligence freelancer or consultant and provide assistance with projects of all kinds.
Live Classes and Bootcamps at Noble Desktop
Noble Desktop offers a variety of classes and bootcamps that help students equip themselves with the most updated and essential artificial intelligence education. In the AI for Business Bootcamp, students will learn how to apply and integrate artificial intelligence in several ways, ranging from data analysis and project management to email communications and marketing content. The instructor will provide case studies and facilitate class discussions to help students learn more about the field. Additionally, they will complete hands-on projects that give them direct experience with the material. Students will leave this class feeling confident in using artificial intelligence tools for business needs, which will ultimately increase profits, enhance consumer engagement, and optimize workplace operations.
However, if you want to learn artificial intelligence for a specific field, you can do so at Noble Desktop. The AI for Graphic Design course is designed to teach how different artificial intelligence tools can be used to enhance and streamline the graphic design process. Specifically, students will learn how to generate images with Adobe Firely, Adobe’s unique generative artificial intelligence tool. In addition, the instructor will teach students how to integrate artificial intelligence with Photoshop, Illustrator, Acrobat, InDesign, and other useful graphic design applications under Adobe Creative Cloud.
Likewise, if you are using artificial intelligence for data analysis and management, you can enroll in Noble Desktop’s AI for Data Analytics course. Here, students will gain an overview of the most popular artificial intelligence tools and how to use them. Specifically, the instructor will guide students through platforms such as Google AI, IBM Watson, Tableau, and Microsoft Azure. Students will learn how to apply natural language processing for text analysis, visualize data, automate data cleansing processes, and build predictive models. Additionally, the course covers the differences between regression, classification, and clustering. Overall, students will gain the expertise needed to break into the data analytics field and use artificial intelligence tools to their fullest advantage.