An astonishing CAGR of 37.3% is predicted for the worldwide AI market between 2023 and 2030. By 2030, it will tally $1,811.8 billion! The figures emphasize how urgently you need to get knowledgeable about AI and take use of its advantages. For various skill levels, several online platforms provide advanced artificial intelligence courses.
With free AI courses ranging from machine learning and neural networks to natural language processing, Simplilearn is a great resource for students of all ability levels. The usefulness and appeal of these online artificial intelligence courses are increased by ongoing upgrades and various teaching strategies. Explore the well-liked AI courses listed below.
Understanding AI in Contemporary Society
Artificial intelligence literacy is very important in contemporary society and affects many facets of day-to-day existence. Knowledge of artificial intelligence is crucial for employability in the workforce. One’s abilities are improved and one becomes more flexible to changing job demands when one is proficient in AI tools and concepts. Nowadays, artificial intelligence is used in many fields, from banking to healthcare, and being AI savvy is becoming more and more competitive technologically.
Ethical issues also heavily weigh artificial intelligence literacy. As artificial intelligence systems affect decision-making processes, it becomes imperative to understand the algorithms and any biases. This understanding guarantees the just and moral application of AI technologies and helps to reduce unexpected effects.
Applications of AI to healthcare improve drug discovery, personalized medicine, and diagnostics. Literacy in artificial intelligence enables medical practitioners to apply these technologies for improved patient outcomes, therefore enhancing the provision of healthcare overall.
Furthermore, knowing AI gives people leverage as customers. Critical thinking is improved when one understands AI algorithms that select information or suggest products. People can choose news sources and interpret personalized recommendations with knowledge thanks to it. Student preparation for the future employment market depends critically on their AI literacy. A generation ready to explore a tech-driven world is developed by curriculum integration of AI training, which promotes creativity and problem-solving abilities.
Artificial intelligence: Definition and Application.
Artificial intelligence is the emulation of human intelligence in computers designed to pick up new skills, adjust to new situations, and make judgments much like a human would. Drawn graphics may be understood by AI, which can also assess its surroundings, tackle difficult challenges, and occasionally even show originality.
Naturally, though, AI is not limited to extremely clever models like ChatGPT or StableDiffusion. Classifying objects according to their traits (is this animal a cat or a dog?) or forecasting the future based on known facts (how much can I anticipate if I sell this house now in this neighborhood?) are other uses for the very broad term artificial intelligence. With a vast range of applications from virtual reality to marketing to medicine and much more, artificial intelligence is therefore a very progress-driven science.
What distinguishes Deep Learning from Machine Learning and Artificial Intelligence?
Machine Learning (ML) and Deep Learning (DL) are two of the most important subfields in AI, which is an incredibly vast field including many approaches and methodologies. Said another way, DL is a further subset of ML and uses artificial neural networks with three or more layers to mimic a human brain. ML is a subset of AI that uses algorithms to read data, learn from it, and make predictions or judgments. Kindly reroute your webpage if you’re interested in learning more about any of these subjects; I’ve already linked my BCGs on them (they’re still to be updated).
Why Pick Up Artificial Intelligence?
The need for AI experts is growing rapidly as governments and companies spend more and more on AI technologies. Experienced IT experts with artificial intelligence skills are in great demand, claims LinkedIn Talent Solutions.
Furthermore, Artificial Intelligence is mentioned a lot in the Future of Jobs Report from the World Economic Forum, indicating how important it will be to future employment. Naturally, if you are easily persuaded by financial incentives—and who isn’t?—take into account that, on Glassdoor, the average pay for a machine learning engineer in the US is a respectable USD 120K.
And there are plenty of reasons—non-technical, of course—why you should attempt to comprehend AI even if you have no intention of becoming a professional in it. Most likely, you are aware of the discussion and controversy surrounding AI-generated content, including ChatGPT plagiarism in schools or copyright restrictions for AI art.
Undoubtedly, 2023 will go down in AI history since the general public has never had access to AI this much. This is most likely the reason you should strive to educate yourself more about AI even if you are that average person, so that you can express your thoughts on the subject without stumbling over your own feet.
10 Excellent Free Artificial Intelligence Courses You Must Take
These ten top courses from Simplilearn cover machine learning, deep learning, basic AI ideas, and specialized subjects like data mining and natural language processing
1. AI Fundamentals:
An indispensable course for exposing students to artificial intelligence is this one. A foundation for further research is laid by its coverage of important ideas, applications, and the impact of artificial intelligence on industries.
2. Introducing Deep Learning:
The material in this Simplilearn course covers neural networks, backpropagation, and uses. It covers the world of deep learning and is helpful to novices trying to grasp the fundamentals of this subject.
3. SkillUp’s Machine Learning Fundamentals:
In its Machine Learning SkillUp course, Simplilearn covers algorithms, model evaluation, and both supervised and unsupervised learning. It provides the basic knowledge needed for students to grasp the main ideas of artificial intelligence.
4. Machine Learning Algorithms:
With the help of this course, participants will be able to comprehend the applications of algorithms and select the best ones for particular scenarios. It improves machine learning decision-making and practical knowledge.
5. Learn the Correct AI Tools for the Correct Task:
The Caltech Postgraduate AI and MLEXPLORE Program Gain Knowledge on the Appropriate AI Tools for Your Task!
6. Natural Language Processing Fundamentals:
Processors for natural language are essential to artificial intelligence. This course gives a foundational knowledge of text processing, sentiment analysis, and language models while providing insights into the potential of AI to comprehend and analyze human language.
7. R Machine Learning:
Focusing on machine learning with the R programming language, this course combines statistical techniques with practical applications. Learners wishing to utilize R for machine learning applications should find it appropriate.
8. TensorFlow Foundations:
A foundational architecture for deep learning is TensorFlow. TensorFlow is designed and applied for neural networks in this Simplilearn course.
9. Training in Neural Networks from Scratch:
The Neural Network Training from Scratch by Simplilearn is a course that takes learners through the easiest way of training neural networks from scratch. It’s an important resource for understanding the ideas of neural network development and is useful for those searching for a way to deal with neural networks
10. Beginner’s Keras:
One fundamental neural network API is called Keras. Introducing Keras, this Simplilearn SkillUp course gives students easy access to creating and playing with neural networks.
11. Data Mining Introduction:
Extraction of important insights requires data mining. Introducing participants to the fundamentals of data mining, the Data Mining SkillUp Course covers methods and applications necessary for decision-making.
Learn AI For Free with These 10 Online Courses with Certificates
- AWS Competency Builder
- Google: All-Inclusive AI
- Stanford University: Python Introduction to Artificial Intelligence
- AI Foundations for Everyone by IBM
- Brain
- Big Data, Artificial Intelligence, and Ethics at the University of California, Davis
- University of Pennsylvania: Business AI
- Governance of AI Strategy
1. AWS Competency Builder:
Through AWS, Amazon offers over 100 free and affordable AI courses and learning resources. Students can get fundamental knowledge in foundational models, generative AI, and machine learning. Overall, the corporation pledges to train 2 million workers in AI capabilities for free by 2025.
The machine learning program offers about seven hours of free material where people may study the fundamentals of the technology, including pertinent jargon and decision-making procedures. It also shows users how to use the machine learning platform from Amazon SageMaker, which is utilized by AT&T and LG, among others.
2. Google: All-Inclusive AI:
Anyone curious in the practical applications of artificial intelligence might take a basic course offered by Google. Offered by the online learning platform edX, Google AI for Everyone is a self-paced course that, with two to three hours of study time per week, should take around four weeks to finish. Participants study the principles of machine learning and artificial intelligence as well as practical uses of the technology.
Google also describes how a computer learns and what AI programming looks like. Laurence Moroney, who oversees AI Advocacy for Google as a member of the Google Research into Machine Intelligence (RMI) team, is the instructor. As per edX, this free online course has attracted about 12,000 students.
3. Stanford University: Python Introduction to Artificial Intelligence:
For those of you who have completed Harvard University’s CS50 Introduction to Computer Science course on edX—5.7 million students—the university’s basic AI course may be the greatest fit. The Introduction to Artificial Intelligence with Python course at Harvard requires completion of CS50, one of the most well-known free online courses ever.
The topics of this seven-week course are machine translation, handwriting recognition, game engines, and AI algorithms. To finish the course—which includes lectures and practical projects—students must put in between 10 and 30 hours a week. Reputable computer scientist and Harvard professor David J. Malan is teaching the course.
4. AI Foundations for Everyone by IBM:
Through Coursera, IBM—a company known for being a trailblazer in new technology—offers a specialty in AI Foundations for Everyone. Three classes make up the specialty:
- Context of Artificial Intelligence (AI)
- Beginning AI with IBM Watson
- Crafting AI-Powered Chatbots Without Programming
Assuming you put in two hours a week on study, the specialization takes roughly three months to finish. The fundamentals of artificial intelligence (AI), together with its uses and ethical issues, will be covered for students. Experts on launching a career in AI will also be speaking. Teaching the course are IBM Skills Network employees Rav Ahuja and Antonio Cangiano. On completion, participants receive a certificate.
5. Brain:
By 2030, Intel wants to have given over 30 million individuals AI skills. As part of this dedication, the firm offers hundreds of free online self-paced courses on topics such as natural language processing, deep learning for robots, and deep learning.
Intel also offers a number of “AI Concepts” instructional sections that guide you through terminology, practical examples, tools, and resources for subjects including transfer learning, generative AI, and AI inference. The company also offers free on-demand webinars on more complex AI use cases including AI workload optimization, AI performance tuning, and transformer model optimization.
6. Big Data, Artificial Intelligence, and Ethics at the University of California, Davis:
Big Data, Artificial Intelligence, and Ethics is a course offered by the University of California—Davis as part of their Computational Social Science specialty on Coursera. Participants in this four-week course study research ethics, artificial intelligence history, and big data and its limits. Finishing the self-paced course in its entirety takes roughly twelve hours.
Professor Martin Hilbert, who also holds the chair in computational social science at UC Davis, is teaching the course. Case studies are used in the course to teach participants AI principles. About 31,000 people have finished this course, and those who do get a certificate can post on LinkedIn.
7. University of Pennsylvania: Business AI:
The University of Pennsylvania provides a number of artificial intelligence-focused courses for anyone who might be trying to break into the field or who just wants to learn more about the uses of this new technology to in various sectors. Four courses comprise the specialty in AI for Business:
- Non-Data Scientists’ Introduction to AI
- Financial and Marketing AI Applications
- Applications of AI in Human Resources
8. Governance of AI Strategy:
The four months it takes to finish these introductory courses culminate in an applied learning project. To show what they have learned about data analytics, machine learning tools, and people management, program participants complete peer-reviewed tasks. Eight UPenn professors from the Wharton School—which Fortune Education ranks as the top business school in the nation—as well as other university faculty members teach the specialty. Coursera is the online learning platform used for the courses, and students who complete them can get certificates to post on their LinkedIn profiles.
Learn AI with These 8 Online Short Courses
- Phil Ebner’s AI Crash Course
- AI’s “AI for Everyone”
- Microsoft’s “Transform Your Business With AI”
- Google’s “Machine Learning Foundational”
- IBM: AI Foundations for Everyone” Training Course
- Digital Partner’s “Fundamentals of ChatGPT”
- Google’s Generative AI Learning Path
- LinkedIn’s “Career Essentials In Generative AI” Training “
1. Phil Ebner wrote ChatGPT, Midjourney, Firefly, Bard, and the DALL-E Course:
Using MidJourney and other AI-generating technologies is covered in many excellent courses available on Udemy. On Udemy, Phil Ebner’s course boasts the most material and has over 30,000 students rating it 4.6/5. The nearly two-hour lesson covers material that will improve your ability to create text replies and photos with ChatGPT and other comparable apps.
But in the section under “AI for Visual Creativity,” you can learn how to use Dall-E and MidJourney to produce “photorealistic photos, illustrations, etc digital art in an array of styles.” The moment to understand the fundamentals of AI video production and the available tools has never been greater, since OpenAI’s Sora movie creator appears to be about to release.
2. AI for All projects of DeepLearning.AI:
Not to be confused with IBM’s online AI school, DeepLearning.Just to find out what all the excitement is about, take the “AI for Everyday” short course. Averaging a rating of 4,8/5 in February 2024, this course has drawn 1.2 million students and over 40,000 reviews. Having over 40 classes on the system, Professor Andrew Ng’s leadership of it could help to explain this.
Four sections comprise this course: What Is AI?, AI in Your Company, AI in Society, and Building AI Projects. All four of the modules take less than an hour to finish, so if you’re prepared to answer the questions that are supposed to summarize each one, you might be able to complete the course in a single day. You can “audit” the course and access all the materials for free, just like with most Coursera classes. You must create a paid account, nevertheless, in order to get the proper accreditation after finishing the course.
3. Using AI to Transform Your Business from Microsoft:
This Microsoft learning path, which the tech giant claims, is designed to help businessmen acquire “the knowledge and resources to adopt AI in their organizations,” includes “planning, strategizing, and scaling AI projects in a responsible way.” The objectives of this course are, according to Microsoft, to acquaint students with state-of-the-art AI tools, comprehend fundamental AI ideas and vocabulary, and use prebuilt AI to build intelligent applications.
Enrollment in this two-hour, forty-minute course requires a “basic understanding” of business and IT subjects, according to Microsoft.
4. Fundamental Machine Learning from Google:
Google offers the foundational AI course that was already discussed together with a free introductory machine learning course. The course is viewable with your Google Workspace or personal account. It’s free, hence there’s an astonishing amount of material accessible. Content includes a machine learning “crash course,” a piece on “problem framing,” and a course on preparing your data for machine learning techniques. Among them are freely accessible movies that present basic concepts and are provided by machine learning professionals. Every session will then end with a quiz to “check your understanding”.
If your organization is looking for novel approaches to apply AI/machine learning in the workplace, this course is still worth checking out even if it is a little more advanced and has a little more business-focused focus than the other Google course on this list.
5. Intel’s “AI Foundations for Everyone”:
In February 2024, more than 2,000 people had registered for IBM’s Coursera course, “AI Foundations for Everyone.” If you would want to audit the course, you can access all of the materials and complete some assignments for free, but at the end you won’t get a certificate or a mark. That will need a Coursera membership. Anyone without prior experience can enroll, and the flexible timetable lets you study at your own pace. Beginners are the intended audience. Apart from imparting knowledge on the fundamentals of artificial intelligence, the course will ensure that you are aware of IBM’s AI services, which enable businesses to integrate AI into their present infrastructure.
After the training, participants would have had “hands-on interactions with several AI environments and applications,” claims IBM. Three modules comprise the course: “Introduction to Artificial Intelligence,” “Getting Started with AI using IBM Watson,” and “Building AI-Powered Chatbots Without Programming.” Finishing each session takes nine to eleven hours.
6. Digital Partners’ “ChatGPT Fundamentals”:
The “The Fundamentals of ChatGPT” course from Digital Partner is a great option for anyone wishing to take a free, accredited course covering the foundations of generative AI. February 2024 saw the passing of the short course by over 8,000 pupils. Throughout the course, you will learn about the features, advantages, and disadvantages of ChatGPT as well as OpenAI’s contribution to the global AI community. The course covers the differences between ChatGPT and ChatGPT Plus and provides a number of examples demonstrating how to utilize ChatGPT for different tasks.
Among the courses are “Working With ChatGPT,” “ChatGPT and Its Shortcomings,” and “Training a GPT Model.” The publisher of this free course, available on alison.com, is Digital Partner, a digital marketing company. CPD certified, the 1.5–3 hour workshop will award participants a certificate when they complete a brief assessment.
7. Google’s Generative AI Learning Path:
With five brief courses on its Generative AI Learning Path, Google is among the more generous providers of genuine learning hours. We complete each course in a single day. Within the introductory category are seven courses: “Introduction to Large Language Models,” “Introduction to Generative AI,” and “Generative AI Fundamentals.”
The first two beginning courses cover a lot of directly useful topics, such as how to use quick tuning to optimize large language models. There is also an AI usage course. You will get a badge of completion that you can add to your online CV even though you won’t have an official qualification. Google has also expanded its Coursera-based paid certification program and added 18 more languages to its library of free courses.
8. The LinkedIn “Career Essentials in Generative AI” course:
There are five distinct videos in all, making up the LinkedIn AI Career Essentials Course, which runs about four hours. Every video, which addresses a range of foundational concepts and ethical quandaries surrounding AI models, is hosted by a different AI specialist.
One video walks over the key differences between search engines and reasoning engines, while another describes how to utilize Microsoft Bing Chat to speed up your job. You can post a LinkedIn badge of completion on your profile even though this course lacks certification or accreditation.
For those who haven’t yet implemented an AI tool at work, the fifth film in the series, “An Introduction to Artificial Intelligence,” which runs an hour and a half, provides a condensed overview of the best AI tools for enterprises.
AI’s and online learning’s futures: Conclusion
An empowering spirit that improves customized training characterizes the future of AI and online learning. Artificial intelligence systems will look at personal learning patterns and modify content delivery to specifically address various needs. Real-time comments from AI-powered virtual tutors will promote an engaging and dynamic learning environment.
Furthermore, content curation will be greatly influenced by artificial intelligence, which will adapt it to the needs of learners and market developments. Artificial intelligence and extended and virtual reality used to create immersive learning environments will improve the acquisition of practical skills. Artificial intelligence will be used in intelligent assessments on online learning platforms to allow for the assessment of individual development.
By incorporating natural language processing, learning will become a conversational and cooperative experience and interactions will be more interesting. Artificial intelligence and online learning together in the future will transform education by increasing its effectiveness, personalization, and accessibility.
FAQs
1. Where can I obtain a free AI certificate?
Look into free AI courses with certificates upon completion on websites like Simplilearn. Many universities give students looking for basic AI expertise this choice without requiring a financial commitment.
2. Will taking free AI courses be sufficient to land me a job in the sector?
Although free AI courses provide insightful information, for in-depth understanding, add real-world projects and think about advanced premium courses. In the very competitive AI industry, a broad skill set and practical application improve employment opportunities.
3. After finishing a course, how can I keep up with developments?
Join AI groups, read industry blogs, take part in forums, and further your education with webinars and workshops. To get relevant information on developments and trends, sign up for newsletters from AI platforms and organizations.
4. Can free AI classes earn me academic credit?
The policy of the university determines academic credit for free AI courses. While some sites provide certificates, official academic credit might not be offered. Check with schools or websites that provide credit-eligible courses for more regulated and acknowledged learning opportunities.
5. Why does artificial intelligence matter?
The value of artificial intelligence is numerous. AI seeks to program systems to behave logically and duplicate human abilities to perform jobs. Establishing data collection, pattern recognition, and problem-solving systems can enable companies to automate routine tasks and make data-driven decisions.footnote2
In other aspects, such as data analysis, AI can also surpass human capacity. For instance, sophisticated algorithms and data analysis carried out by AI are necessary to produce unique user experiences at the level of personalization attained by a streaming service. There are plenty of different job options available to those who wish to master artificial intelligence since companies are always employing machine learning and other forms of artificial intelligence to change and grow.
Coursework for Artificial Intelligence
Comprising computer science, natural language processing, coding, mathematics, data science, and many other fields, artificial intelligence is a broad subject. An introductory free artificial intelligence course or lesson might instruct students in the following:
Business and societal applications of AI
- Moral dilemmas with artificial intelligence
- Programming artificial intelligence for games, logic difficulties, and search algorithms.
Further advanced artificial intelligence courses could concentrate on subjects like machine learning, robotics, and data modeling and analysis. People interested in learning artificial intelligence should also think about enrolling in relevant computer science and programming courses in languages like Python, R, and other widely used data analysis languages.
Jobs in artificial intelligence
The kind of education needed for various artificial intelligence positions can differ. While some organizations might accept candidates who have finished a boot camp program, others could need a bachelor’s or master’s degree in computer science or a comparable discipline. Footnote 3
Job titles pertinent to the field of artificial intelligence may include:
- AI engineer
- Management of AI projects
- Scientific researcher in computers and information
- In computer programming
The kind of position will dictate the duties. One subset of computer and information research scientists, artificial intelligence researchers, might be expected to: Endnote 4
- Investigate computer issues and create solutions.
- Ascertain system requirements and compute demands for technologies.
- utilize programming languages and other resources
- Build systems and test their functionality through experiments.
6. What is the meaning of AI?
Artificial intelligence literacy is very important in contemporary society and affects many facets of day-to-day existence. Knowledge of artificial intelligence is crucial for employability in the workforce. One’s abilities are improved and one becomes more flexible to changing job demands when one is proficient in AI tools and concepts. Nowadays, artificial intelligence is used in many fields, from banking to healthcare, and being AI savvy is becoming more and more competitive technologically.
Ethical issues also heavily weigh artificial intelligence literacy. As artificial intelligence systems affect decision-making processes, it becomes imperative to understand the algorithms and any biases. This understanding guarantees the just and moral application of AI technologies and helps to reduce unexpected effects.
Applications of AI to healthcare improve drug discovery, personalized medicine, and diagnostics. Literacy in artificial intelligence enables medical practitioners to apply these technologies for improved patient outcomes, therefore enhancing the provision of healthcare overall.