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9 Great Artificial Intelligence Certification Courses for a Skills Boost in 2024

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9 Great Artificial Intelligence Certification Courses for a Skills Boost in 2024

While every company in the world is trying to adopt AI in one way or another, you can show potential employers you know what you’re talking about with artificial intelligence certifications. Instead of getting your education from YouTube University, these artificial intelligence certification picks make your resume legitimate and help you stand out in a crowded job market.

The only problem is finding options that are actually worth your time and money. To make things easier, we’ve compiled a list of 9 AI certification options that can boost your skills, enhance your resume, and prepare you for the ever-changing landscape of technology.

Let’s take a look at what these certifications offer and how they help you become qualified for your next tech job.

Artificial Intelligence Certification Programs From Reputable Organizations

All AI certifications help you learn more about emerging technology, but the following courses come from the top universities and organizations in the world. Secure a certificate through these options and your resume has a better chance of impressing hiring managers.

1. Artificial Intelligence Professional Program (Stanford School of Engineering)

stanford online artificial intelligence certification - homepage screenshot

The Artificial Intelligence Professional Program from the prestigious Stanford is perfect for those eager to grasp AI’s cutting-edge technologies and principles. You’ll get comprehensive insights into:

  • Machine Learning Algorithms
  • Deep Learning
  • Natural Language Processing
  • Supervised/Unsupervised Learning
  • Reinforcement Learning
  • Graph Neural Networks
  • Multi-Task and Meta-Learning

Before enrollment, you need to be proficient in Python and comfortable with college calculus and linear algebra. You’ll also need basic probability theory.

The skills in this course allow you to build your own AI models and algorithms, debug your own code, fine-tune model parameters, and implement generative language models.

It’s a ten-week course with a requirement of 10-15 hours per week. You will, however, get your own instructor and have access to community support.


2. IBM AI Engineering (IBM)

IBM artificial intelligence certification - homepage screenshotIBM artificial intelligence certification - homepage screenshot

The popular organization IBM is the powerhouse company that created what we now call the supercomputer. This is why their AI Engineering course is one of the best certifications offered.

IBM AI Engineering is an intermediate course for those familiar with Python and data science. This certificate is earned through six individual modules over two months and requires about 10 hours a week.

The course is hosted entirely on Coursera, which means you will need a membership to earn your certificate. But the good news is they offer a 7-day free trial, so you can test to see if the course is what you were expecting.

The content is designed for those ready to master machine learning and deep learning using Python. The program covers:

  • Supervised and Unsupervised Learning
  • Libraries like SciPy, ScikitLearn, Keras, PyTorch, TensorFlow
  • Object Recognition, Computer Vision, NLP
  • Recommender Systems, Classifiers
  • Scaling Machine Learning on Big Data using Apache Spark
  • Building, Training, and Deploying Deep Architectures

After going through all the modules, you’ll finish the course by completing a capstone project on deep learning. For example, you could use machine learning to automate customer segmentation or deep learning for predictive analytics, saving time and enhancing business operations.

Price: 7-day free trial, $49/month for Coursera membership


3. Computer Science for Artificial Intelligence (Harvard)

hardvard online artificial intelligence certification - homepage screenshothardvard online artificial intelligence certification - homepage screenshot

Releasing its most popular CS50 courses to the general public online, Harvard is offering a computer science for artificial intelligence course that takes place over six months. It actually includes two courses for one price and is taught by a professor at the School of Engineering.

The original course was Intro to Computer Science, and it was the most popular undergraduate course at Harvard.

Harvard’s School of Engineering has combined the classic course with Intro to Artificial Intelligence to create the course you now have a chance to complete.

During the course you’ll learn:

  • Graph search algorithms
  • Classification
  • Optimization
  • Reinforcement learning

After completing the course, students will learn how to design complete intelligent systems, use AI in Python programs, and have a robust understanding of computer science principles. These deep learning models and AI technologies are presented in easy relatable terms, making it manageable in the world of complicated AI courses.

All the courses on this list will help you land better opportunities, but getting a course completion from Harvard will undoubtedly matter more than others.


Artificial Intelligence Certifications For Entrepreneurs

Getting certified on the ins and outs of computer science or deep learning algorithms isn’t relevant if you aren’t a programmer or engineer. The following courses are designed for practical use and help businesses get more from the tools they use.

4. Jasper.AI Certification Program

1704299164 872 9 Great Artificial Intelligence Certification Courses for a Skills Boost1704299164 872 9 Great Artificial Intelligence Certification Courses for a Skills Boost

Jasper.ai exploded onto the business scene by being one of the first fully integrated AI tools for content writing.

As seen in our Jasper.ai review, you can easily automate copy for social media, web pages, blogs, product descriptions, and more.

Now, they’re offering a complete Jasper.ai certification program to support your learning path. It helps business professionals and freelancers to save time on content. It also lets others know that you’re proficient in the tool if they want to hire out AI development.

The Jasper.ai proficiency certification is a short course designed for anyone who wants to show their expertise. You’ll learn:

  • Brand Voice
  • Campaigns
  • Chat, Documents, Templates, and Art
  • Basic troubleshooting for content generation
  • Understanding of how Jasper is trained

Within just an hour and a half, divided into two modules, you’ll be equipped to incorporate the latest Jasper updates into your workflow.

Imagine using the “Brand Voice” feature to maintain consistent communication or employing “Templates” to accelerate document creation.

After passing the 60-question final exam, you’ll be able to troubleshoot when content generation falls short of expectations.


5. SurferSEO Certificate of Achievement

SurferSEO is a tool used to optimize copy for web pages. The SurferSEO Certificate of Achievement course is great for those who want to learn how to use AI. Not only to write better but to create keyword-rich content that ranks higher on Google and other search engines.

The tool is one of the more comprehensive copy-optimizing options. It automatically pulls data from the top-ranking sites on Google. It then averages out keyword usage numbers you can use as guideposts when writing copy for your blog or web pages.

The data helps you rank higher on Google using SEO best practices. It’s one of the best AI SEO software options that incorporates AI into the platform.

You’ll see information like the number of headings, titles, images, and keywords that need to be used. There are even outline recommendations and a complete content editor.

In the course, you’ll learn:

  • The basics of SEO
  • How SurferSEO’s algorithm works
  • Keyword research and optimization techniques

Passing the short exam will give you a downloadable certificate as well as a LinkedIn Badge to add to your profile.

The course even has an online directory of students who have successfully passed the exam. All of the 50,000+ users of Surfer have access to the directory and can reach out to graduates for paid help.


6. AI for Business Leaders

1704299164 882 9 Great Artificial Intelligence Certification Courses for a Skills Boost1704299164 882 9 Great Artificial Intelligence Certification Courses for a Skills Boost

Designed for industry leaders with a focus on practical AI usage, the AI for Business Leaders course helps you make better decisions on how to use AI.

Over two months, you’ll follow a fictitious retailer making decisions on optimal AI use cases for specific business situations. This brings a real-life element to artificial intelligence certification that will prepare you for actual AI scenarios you may encounter.

You’ll learn skills like:

  • Machine learning fluency
  • Beta testing
  • Machine learning dataset fundamentals
  • Machine learning system architectures
  • Machine learning use cases
  • Product storyboarding
  • Product proposals
  • Model performance metrics

You’ll go along the journey and learn which business use cases would be best for AI and which would be a waste of time and money.

In the final project, you’ll apply these exercises to a business of your choice, solidifying your learning.

This program provides a comprehensive yet accessible AI education, positioning you to harness AI content writing tools in your business.

Price: Month-to-month: $249, Four months: $846


Free Artificial Intelligence Certification Programs to Consider

You don’t need thousands of dollars or an education from Ivy League schools to get AI certified. The courses below offer comprehensive introductions to AI and get your foot in the door to start your future career today.

7. Intel Edge AI Certification

1704299165 586 9 Great Artificial Intelligence Certification Courses for a Skills Boost1704299165 586 9 Great Artificial Intelligence Certification Courses for a Skills Boost

Specific to the Intel Edge AI hardware and software, the Intel Edge AI Certification covers the fundamental topics necessary to build a deep learning project.

You’ll get hands-on experience with Edge AI tools and platforms like the Intel® Distribution of OpenVINO™ toolkit and Intel® Developer Cloud for the Edge.

Imagine detecting safety gear or preventing retail losses using computer vision deep-learning inference. You’ll learn to deploy pre-trained models for computer vision and develop deep-learning inference applications

Upon completion, you’ll have a portfolio of edge AI solutions, showcasing your proficiency in TensorFlow, PyTorch, Open Neural Network Exchange (ONNX), and other public models.


8. Jetson AI Certification

1704299165 12 9 Great Artificial Intelligence Certification Courses for a Skills Boost1704299165 12 9 Great Artificial Intelligence Certification Courses for a Skills Boost

NVIDIA is a pioneering tech powerhouse known primarily for its graphics processing units (GPUs) for gaming and professional markets. The company has since transitioned into AI computing, becoming the parent company of Jetson.

By leveraging its deep learning capabilities to develop advanced platforms for autonomous machines, the company created the Jetson AI Certification program.

This artificial intelligence certification is a great way to get familiar with Jetson and understand how it works within your business needs.

The program is designed for several different AI technologies, including:

  • Developers
  • Educators
  • Students
  • Lifelong learners

You’ll be required to create a project that incorporates AI elements (machine learning or deep learning) with GPU acceleration using NVIDIA Jetson. To enhance your understanding, you’ll make a video demonstration showing how your project works and how it was developed.

There are two paths to earn the Jetson AI certification: a Jetson AI specialist or a Jetson AI Ambassador. The ambassador program opens access to many other products and is ideal for educators and instructors.


9. AI for Everyone

1704299165 586 9 Great Artificial Intelligence Certification Courses for a Skills Boost1704299165 586 9 Great Artificial Intelligence Certification Courses for a Skills Boost

One of the best introductory AI courses available is AI for Everyone. From designers and writers to engineers and business leaders, anyone can learn the basics of AI and how it can be incorporated into their work from this artificial intelligence course.

AI for Everyone goes deep into the terminology behind AI so you can be familiar with common lingo like machine learning, deep learning, algorithms, and more. It gives you a foundation to work from and build more AI skills as you progress in your career.

You’ll learn the limitations of AI and what it can and can’t do, along with how to recognize when AI can be used to solve a business problem. This is a skill that will become increasingly important as businesses adopt AI and machine learning into everyday operations.

The certification program offers guidance on working with an AI team and navigating ethical discussions around AI. You can learn what the challenges of implementing AI are and how successful teams are in creating unbiased and fair algorithms.

Comprising four modules, this seven-hour course is a time-efficient way to boost your AI knowledge and implementation. While technical students may already know most of this knowledge, if you’re new to AI you will gain a solid foundation to progress from.

Final Thoughts: 9 Artificial Intelligence Options to Boost Your Skills

The world of Artificial Intelligence is opening doors and creating new opportunities in every industry.

These nine accessible and affordable AI certificate programs enable you to expand your skill set and stay competitive in an evolving market.

Whether enhancing your webpage with SEO techniques or refining your business decisions through AI, these skills can propel your professional journey to new heights.

Apply, experiment, and continue to explore the dynamic landscape of AI.

Take a look at our article on the best certifications to work from home for more suggestions.



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AI Marketing vs. Human Expertise: Who Wins the Battle and Who Wins the War?

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AI Marketing vs. Human Expertise: Who Wins the Battle and Who Wins the War?

Opinions expressed by Entrepreneur contributors are their own.

Uncover the truth about AI in marketing and why it’s a ticking time bomb for unprepared businesses! As AI revolutionizes the marketing landscape, understanding its long-term impact is crucial.

In this video, I dive deep into the reality of AI marketing, exposing the myths and revealing strategies to stay ahead of the curve. Learn why AI might play in your favor for the next 3 years, but could spell trouble if you’re not prepared for what’s coming. Discover how to leverage AI tools effectively while developing a future-sighted approach that will keep you competitive in an AI-driven world.

Download the free ‘AI Success Kit‘ (limited time only). And you’ll also get a free chapter from Ben’s brand new book, The Wolf is at The Door – How to Survive and Thrive in an AI-Driven World.’

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5 Financial Blind Spots That Could Be Preventing You From Making More Money

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5 Financial Blind Spots That Could Be Preventing You From Making More Money

Opinions expressed by Entrepreneur contributors are their own.

Money can often be the barrier between being stuck where you are or breaking through to the next level. This includes having or not having a budget, using it properly, hidden revenue or even misaligned goals — all of which influence your growth trajectory. These four common secrets have helped my company elevate our clients to the next level.

1. Financial transparency for ROI

The first blindspot we often notice with new clients is not having a clear reporting connection between your tools, like ads and a CRM like HubSpot, to see which channels drive the most significant return on investment (ROI). Do you know your best-performing channels? Or your best-performing piece of sales copy? What is the most opened document that leads to a closed deal?

And we’re not just talking about marketing and sales; this applies to many connected platforms — for example, the closed-loop revenue or your ERP systems. When things are not connected, they are disjointed and siloed. You end up flying blind. Without connecting your marketing tools with your revenue tools, and with that being CRMs, finance platforms, or ERPs, to name a few, there is a disconnect, and the arms and legs end up moving in different directions.

Here’s a simple example we see all the time: If you knew that one channel drove more deals by a 75% faster conversion rate, wouldn’t you invest more time and energy in that channel than one that only had a conversion rate of 10%? Many people don’t want to share the revenue numbers within the company, but all of that information informs the other departments; without sharing these revenue numbers, your money secret is keeping it in hidden silos.

Related: I Hit $100 Million in Annual Revenue by Being More Transparent — Here Are the 3 Strategies That Helped Me Succeed

2. Strategic investment for avoiding blind spots

Another financial blindspot is not investing in marketing. We have had prospects come in with no budget and no internal marketing team, but we want to grow by 150% and spend a total of $1,000. I wish achieving growth like this was possible, but unfortunately, it’s not. The old adage that you get what you pay for, or it takes money to make money, speaks the truth. Your investment goals should match your growth goals. The amount of money invested should be measured not just by short-term, quick wins but also by looking at long-term investment to growth.

You would never measure an HR department strictly on the number of hires. However, looking at the whole picture of longevity amongst many other important KPIs, You would not use an HR department for a few months. It is something that is constant and needs care and attention. Marketing is no different — if you strictly only measure marketing by the number of leads, you are missing out on the full picture. Marketing helps push leads through nurture campaigns, creates automation, leads scoring, builds new campaigns and tests, supports sales enablement activities and many other components. A buying cycle is rarely a straight line to click and buy unless we’re discussing Amazon.

That said, everyone has budgets, margins and bumper lanes they need to stay in. I am by no means saying throw your budget to the wind, but your goal should match your budget. If you have modest growth goals, be realistic about the budget needed to get there. Set incremental micro goals but stay the course for long-term growth.

Related: You Won’t Have a Strong Budget Until You Follow These 5 Tips

3. Data-driven decisions to save money

Another money secret that costs companies is spending without the data to back it. We had a company inquire about a new website, a full blow-up, new navigation, new content, new page layouts, migration onto a new CMS, a new theme and the works. They said they had a $75,000 budget for the whole project. In theory, it sounds great, right? Willing to invest? Check. Has a budget? Check. Know what they want the end result to be? Check. But when we asked them the next question, they looked at us like we were crazy, “Do you have data that backs the changes you are looking to make?” Are you running a tool like Hotjar to see real user data behind how these proposed changes will impact your existing inquiries and the only source the sales team was currently using for leads?

The answer was no. When the heat map was overlaid, do you know what happened? Well, they were looking to build that new navigation out and replace the old one — nearly 90% of the traffic was going to two pages of their site directly from the navigation, both of which they had originally wanted to remove. In this case, it wasn’t just about having the money but also about making sure the decisions you make with the budget are informed by real data: user data, sales data, marketing data and more. The more informed you can be by closing the loop on your data, the better your end result will be.

Related: Want to Be Better at Decision Making? Here are 5 Steps to Better Data-Driven Business Decisions

4. Modern marketing channels to drive growth

What is likely costing you the most is using old-school channels without the ability to measure. Companies have spent the last decade on traditional marketing channels and are switching to digital. The company’s historical growth has relied on things like trade shows, print, postcards and online magazines. We ask what the ROI you have seen by each channel is, and rarely can they share a specific revenue number and say it is for brand awareness. Some of the budgets can be over 50 to 100 thousand dollars spent on these traditional methods, but there is no ROI attached, yet they continue them.

When the pandemic happened, we saw a massive influx in businesses shifting from once only boots on the ground to digital. The lockdown changed everything; there were no more trade shows, no more door knocking and no one picking up their mail or faxes daily. It made traditional selling channels challenging and obsolete and forced a new level of openness to try new ways to get the job done. In the example of running online magazine ads there are lots of ways to capture them, we can use UTM tracking, referral analysis or create a custom landing page for the offer and capture the leads directly. Without running them to a landing page or form, you rely only on the online publication for leads and analytics. We’ve had people show a list of just names, no emails to follow up with, or only show a random number of visitors to the page, not a single name. It’s important to know what they will provide for reporting and tracking when you publish or use traditional channels. The rule of thumb is to use connections and tools that leverage old-school methods into technology and not blindly spend on channels that cannot be measured.

Stop wasting time, energy and revenue on these blind spots. They have easy solutions, so you can avoid them and focus on growing your business!

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How Nvidia Pivoted From Graphics Card Maker to AI Chip Giant

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How Nvidia Pivoted From Graphics Card Maker to AI Chip Giant

A decade ago, Nvidia was a major graphics card maker, vying with competitors like AMD and Intel for dominance. Now it’s an AI giant with 70% to 95% of the market share for AI chips, and the brains of OpenAI’s ChatGPT. It’s also the best-performing stock with the highest return in the past 25 years.

Why did Nvidia invest in AI chips over 10 years ago, ahead of the competition? CEO Jensen Huang and board member Mark Stevens, Nvidia’s two largest individual shareholders, talked to Sequoia Capital partner Roelof Botha to explain what Botha called “one of the most remarkable business pivots in history.”

Nvidia’s original product was 3D graphics cards for PC games, but company leaders noticed by the mid-2000s that the PC market was hitting a growth limit.

Related: Nvidia CEO Jensen Huang Turned Down a Merger Offer in the Company’s Early Days, According to Insiders. Here’s Why.

“We felt we were always gonna be boxed into the PC gaming market and always knocking heads with Intel if we didn’t develop a brand new market that nobody else was in,” Stevens explained.

Jensen Huang, co-founder and chief executive officer of Nvidia. Photographer: Lionel Ng/Bloomberg via Getty Images

That need for a new market intersected with a product Nvidia already had on hand: its graphics processor unit, or GPU, which could be used to power tasks outside of gaming. Researchers at universities across the world began exploring the graphics cards, eventually building advanced computers with them.

Related: Is It Too Late to Buy Nvidia? Former Morgan Stanley Strategist Says ‘Buy High, Sell Higher.’

Huang recalled meeting a quantum chemist in Taiwan who showed him a closet with a “giant array” of Nvidia’s GPUs on its shelves; house fans were rotating to keep the system cool.

“He said, ‘I built my own personal supercomputer.’ And he said to me that because of our work… he’s able to do his work in his lifetime,” Huang said.

Other researchers, like Meta AI chief Yann LeCun in New York, began reaching out to Nvidia about the computing power of its chips. Nvidia began considering the AI market when AI had yet to enter the mainstream and was a “zero billion dollar market” or a market that had yet to materialize.

“There was no guarantee that AI would ever really emerge because, keep in mind, AI had had many stops and starts over the last 40 years,” Stevens said. “I mean, AI has been around as a computer science concept for decades. But it had never really taken off as a huge market opportunity.”

Related: Nvidia Is ‘Slowly Becoming the IBM of the AI Era,’ According to the Leader of a $2 Billion AI Startup

Huang and other company leaders still believed in AI and decided to invest billions in the tech in the 2010s.

“This was a giant pivot for our company,” Huang said. “The company’s focus was steered away from its core business.”

Huang highlighted the extra cost, talent, and skills Nvidia had to account for with the pivot, as it affected the entire company. It took 10 to 15 years of effort, but that business decision led to Nvidia powering the AI revolution with an early ChatGPT partnership.

“Every CEO’s job is supposed to look around corners,” Huang said. “You want to be the person who believes the company can achieve more than the company believes it can.”

Related: How to Be a Billionaire By 25, According to a College Dropout Turned CEO Worth $1.6 Billion

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