AI Foundations for Everyone Specialization Free Course
What Will You Gain from This Course
Following the completion of this course, participants will:
· Acquire a thorough understanding of artificial intelligence, covering its concept, uses, and social ramifications.
· Clearly and precisely explain ideas such as machine learning, deep learning, and neural networks.
· Identify various IBM Watson AI services and determine each one's usefulness in various situations.
· Provide several examples of real-world implementations and case studies that demonstrate Watson AI's usefulness.
· Describe the many uses and underlying workings of AI-powered virtual assistant technology.
· Gain expertise in developing and using chatbots for customer service on websites to increase user engagement.
Skills Acquired:
· Artificial Intelligence (AI)
· ChatGPT
· IBM Watson AI
· Large Language Models (LLM)
· Natural Language Generation
· Generative AI
· Data Science
· Machine Learning
· Deep Learning
· Prompt Engineering
· Prompt Patterns
Who Is This Course For
Regardless of technical skill level, this course is intended for people from various backgrounds. This course contains useful information for everyone interested in artificial intelligence (AI), regardless of experience level. It is a great way to improve your knowledge of the subject or gain new insights. It serves the following audiences:
· Newcomers to the subject who wish to learn the principles of AI without learning how to program.
· People who are already employed in AI-related industries and want to learn more about new applications, expand their knowledge, or keep up with emerging trends.
· Anyone who wants to use AI to innovate in their company, whether to raise productivity, find new markets or wants to offer better customer service.
· Those who are studying technology, data science, or artificial intelligence and who wish to add real-world experience to their classroom education.
· People who are generally curious about new technologies such as artificial intelligence (AI) and wish to investigate its ramifications and uses in different sectors.
Course Content
4 Specialization Courses – 77 Videos – 65 Readings – 19 Quizzes – 6 Assignments – Certificate of Completion
Specialization Course 1: Introduction to AI
AI: What is it? AI Applications and Examples
In this part, you will explore the field of artificial intelligence (AI), learning about its definition, uses, and revolutionary effects on a range of facets of everyday life.
· 10 Videos – 47 minutes
· 3 Readings – 22 minutes
· 1 Quiz – 20 minutes
AI: The Basics, Key Terms, and Applications
You will delve into fundamental AI ideas, dissecting the complexities of AI learning and investigating its many applications. You will explore key terms and associated concepts such as cognitive computing, perception, learning, and reasoning. Explore the field of machine learning to learn about methods and training strategies. Next, learn about deep learning and neural networks. You will also examine important AI application domains, including Natural Language Processing, Speech, Computer Vision, and the fascinating topic of Self-Driving Cars.
· 9 Videos – 34 minutes
· 3 Readings – 30 minutes
· 1 Quiz – 30 minutes
AI: Concerns & Ethical Considerations
This module explores how AI is becoming increasingly prevalent in our daily lives, career pursuits, and interpersonal relationships. Acknowledging how critical it is to match the development and application of AI with moral principles, it will examine the many problems and factors related to AI. Learn how practitioners may create and use AI technology with conscience when they have access to a framework of AI ethics. This understanding enables you to identify the social implications of AI, allowing for a well-informed discussion of its possible drawbacks and benefits.
· 6 Videos – 34 minutes
· 3 Readings – 13 minutes
· 1 Quiz – 30 minutes
· 1 Discussion Prompt – 10 minutes
Specialization Course 2: Generative AI: Introduction and Applications
Generative AI: What is it and Its Applications
You will explore the fundamental ideas of generative artificial intelligence (AI) in this module and learn how it differs from discriminative AI. Examine the wide range of content types that generative AI may produce, such as text, graphics, code, audio, and video, as well as its application to data augmentation methods.
· 5 Videos – 22 minutes
· 5 Readings – 25 minutes
· 2 Assignments – 22 minutes
· 1 App Item – 15 minutes
· 1 Discussion Prompt – 10 minutes
Generative AI: Applications & Tools
This session will examine the wide-ranging uses and profound effects of generative AI in a variety of fields, including IT and DevOps, entertainment, finance, healthcare, and human resources. Learn how processes are being revolutionized, productivity is being increased, and success is being fostered in professional settings via generative AI. Explore the main features and useful applications of frequently used tools for creating text, graphics, code, music, video, and virtual environments.
· 5 Videos – 31 minutes
· 1 Readings – 10 minutes
· 2 Assignments – 22 minutes
· 4 Plug-in – 105 minutes
· 1 Discussion Prompt – 10 minutes
Generative AI: Wrapping the Content
You will find a number of tools in this module that are designed to help you strengthen your understanding of the course material. The first quiz is scored to see how well you understand the main ideas covered in the course. You may also consult an extensive vocabulary to further enhance your comprehension of generative AI jargon. Take part in a project that is optional and gives you the chance to use generative AI to create text, graphics, and code. Lastly, get direction on how to proceed with your ongoing education so that you may go smoothly into the next phase of your generative AI mastery.
· 3 Readings – 12 minutes
· 1 Assignment – 21 minutes
· 2 Plug-ins – 60 minutes
Specialization Course 3: Generative AI: Basics of Prompt Engineering
Generative AI: Prompt Engineering
This module presents prompt engineering to help you understand it better. Learn the principles of creating powerful prompts and investigate the best approaches for optimizing prompt creation. Examine other rapid engineering techniques that are frequently employed in the industry as well so that you may efficiently optimize your generative AI operations.
· 5 Videos – 26 minutes
· 5 Readings – 12 minutes
· 2 Assignments – 22 minutes
· 3 App Items – 18 minutes
Prompt Engineering: Applications & Techniques
This lecture clarifies prompt engineering within the context of generative AI. Examine the fundamental ideas that underpin the development of strong prompts and learn about techniques for maximizing prompt formation. Furthermore, investigate other fast engineering methods widely applied in the field to provide you with the means to improve the effectiveness of your generative AI projects.
· 4 Videos – 15 minutes
· 2 Readings – 8 minutes
· 2 Assignments – 22 minutes
· 3 App Items – 80 minutes
· 1 Discussion Prompt – 10 minutes
Prompt AI: Wrapping the Content
You will come across several resources in this module designed to improve your understanding and application of the material covered in class. Take a graded quiz to make sure you grasp the important concepts that have been discussed in the course. Access an extensive glossary to gain a deeper understanding of the terms used in generative AI. Start a final project that will provide you with practical experience to reinforce what you have learned. Furthermore, optional material that focuses on methods for creating powerful triggers for creating images should be examined. Explore IBM Watson's Prompt Lab, a dedicated tool to enhance your prompt engineering skills and add more value to your education.
· 1 Video – 6 minutes
· 3 Readings – 6 minutes
· 3 Assignment – 21 minutes
· 2 App Items – 35 minutes
· 4 Plug-ins – 88 minutes
Specialization Course 4: Building AI Chatbots without Programming
Introduction to Chatbots
In this module, you will quickly become acquainted with chatbots. This module starts by summarizing the basics of chatbots and exploring their intriguing historical development in tandem with messaging services. Discover the relevance and target audience of chatbots as they rise in popularity thanks to AI. Commence your adventure by launching the chatbot you will create in this course and configuring an IBM Watson Assistant instance to work with your chatbot project.
· 2 Videos – 15 minutes
· 2 Readings – 2 minutes
· 1 Quiz – 30 minutes
· 1 App Items – 15 minutes
· 3 Plug-ins – 45 minutes
Navigating Intents
This section will acquaint you with chatbots' internal workings and provide you with a thorough grasp of their capabilities. Determine the intents, entities, and dialogues of a chatbot's three main parts. Examine the meaning and uses of intentions, the fundamental component of a dialogue skill. Learn the fundamentals of intent creation and how to create and import intents using CSV files and the IBM Watson Assistant Content Catalogue. Use the "Try it Out" tab to evaluate the operation of your intentions and learn how to train them efficiently.
· 1 Video – 4 minutes
· 1 Readings – 1 minutes
· 1 Quiz – 30 minutes
· 2 Plug-ins – 30 minutes
Entities
This section focuses on entities, which are the second essential element of a chatbot's dialogue skill. You will become proficient in constructing, editing, and removing entities via practical experience. Examine how to import and integrate entities more easily using CSV files and the IBM Watson Assistant Content Catalogue. Explore the nuances of how chatbots use entity value patterns and synonyms to improve functioning. Discover also the special features that become available when using system entities. Improve your skills even further by using the "Try it Out" panel's features to test your entities rigorously.
· 1 Video – 4 minutes
· 1 Readings – 1 minutes
· 1 Quiz – 30 minutes
· 2 Plug-ins – 30 minutes
Dialog
You will deepen your understanding in this section as you explore the dialogue framework, which is the third aspect of dialogue skills. Develop a hierarchical structure with parent and child nodes by specifying domain-specific intentions. Investigate how child nodes help chatbots have domain-specific discussions. In addition, investigate how conditional actions are handled, particularly with regard to location address requests.
· 2 Videos – 12 minutes
· 1 Readings – 1 minutes
· 1 Quiz – 30 minutes
· 3 Plug-ins – 45 minutes
Deployment
You will be guided through the chatbot project's deployment phase in Module 5. Create an Assistant first, and then connect it to your dialogue ability. After that, learn how to share and preview your chatbot using a WordPress website for testing. Increase your knowledge by investigating other features offered by the Watson Assistant WordPress plugin, resulting in a thorough understanding of how to implement your chatbot efficiently.
· 2 Videos – 3 minutes
· 1 Readings – 2 minutes
· 1 Quiz – 30 minutes
· 2 App Items – 75 minutes
· 2 Plug-ins – 45 minutes
Context Variables & Slots
In this part, you will explore sophisticated chatbot features and learn how to use them practically. Discover how to use context variables to successfully educate your chatbot to remember and use pertinent information during chats. Examine methods for gathering user information and using slots to create context variables to improve the chatbot's responsiveness and conversational flow.
· 1 Video – 5 minutes
· 1 Readings – 2 minutes
· 1 Quiz – 30 minutes
· 2 Plug-ins – 30 minutes
Digressions
In this section, you will explore more sophisticated chatbot features designed to improve the chatbot's responsiveness and flexibility. Discover how to handle inquiries that come up unexpectedly or digressions so your chatbot can continue having pleasant conversations. Investigate the Analyze tab in Watson Assistant to see how chatbots are used, watch chats, and pinpoint places that may be better. Additionally, learn how to use IBM Watson Assistant and other IBM Cloud services on-premises to protect data privacy and ensure legal compliance while using AI.
· 1 Video – 4 minutes
· 1 Readings – 17 minutes
· 1 Quiz – 30 minutes
· 2 Plug-ins – 30 minutes
Summary of Course
It is time to take stock of your chatbot-building experience in Module 8, your summary module. Review the knowledge and abilities you have gained throughout the course to consolidate your grasp of chatbot creation. Also, take advantage of an intriguing offer from IBM to learn how you may make money off your expertise in creating chatbots.
· 1 Video – 3 minutes
Optional Module
Learn more about Watson Assistant and converting dialogue skills to actions in Module 9, which is optional. Learn how to design Watson actions, call an action from a dialogue, activate dialogues, transfer dialogue skills, migrate intents and entities, and more to get real-world experience. This practical investigation will help you become even more proficient with Watson Assistant so you can utilize its sophisticated features with ease.
· 3 Videos – 19 minutes
· 2 Plug-ins – 45 minutes
Final Exam
· 3 Videos – 1 minutes
· 1 Readings – 3 minutes
· 1 Quiz – 30 minutes
Description
Learn about the foundations of artificial intelligence, such as deep learning, machine learning, and neural networks, without knowing how to program. Investigate IBM Watson AI services, which enable companies to easily incorporate pre-built AI intelligence into their products. Learn about the possibilities of intelligent virtual assistants and the many ways they may be used in different situations.
This specialization, which consists of four flexible, self-paced courses, lets students complete each module in as little as four weeks with two to four hours each week. If the full program is completed at this pace, it may be completed in two to three months. Alternatively, it may be completed in only one month if 10–12 hours are committed weekly.
Participants will interact with AI environments and applications through immersive, no-code activities. The end result is the construction and implementation of an AI-enabled chatbot on a website, all done without the need for coding. By the end of the course, students will have acquired the useful skills necessary to create, test, and implement customer support chatbots powered by Watson AI, which will increase customer happiness and promote company success.
Meet the Instructor(s)
Rav Ahuja - Global Program Director at IBM and SkillUp EdTech
A seasoned expert in AI, Data Science, Cloud, and Blockchain. With a focus on democratizing skills for emerging technologies, Rav leads growth strategy, curriculum development, and partner programs for the IBM Skills Network. He is the visionary behind the IBM Data Science Professional Certificate and an esteemed instructor for the Databases & SQL for Data Science course on Coursera. Co-founder of Cognitive Class, an IBM initiative, Rav is dedicated to empowering individuals with in-demand skills. Based at the IBM Canada Lab in Toronto, Rav's expertise spans instructional solutions, global events presentations, and extensive data management and analysis publications. Holding a B. Eng. from McGill University and an MBA from the University of Western Ontario, Rav brings unparalleled expertise to his instructional endeavors.
Antonio Cangiano - Engineering Manager and AI Specialist at IBM
Antonio Cangiano is a multifaceted professional known for his expertise in programming, AI, online marketing, and entrepreneurship. With a fervent dedication to his craft, Antonio Cangiano brings a wealth of knowledge and experience to his role. As a published author and prolific blogger, he shares insights and innovations within the tech industry. Antonio's passion for AI and commitment to excellence make him a valuable asset in driving technological advancements forward.