Online Class: Understanding Artificial Intelligence

Embark on a transformative adventure into artificial intelligence, where you'll learn to harness AI's potential to enhance industries and improve lives globally. Discover a global community and real-world projects that drive critical thinking and innovation in an interconnected learning environment.

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  • 15
    Lessons
  • 15
    Exams &
    Assignments
  • 4
    Hours
    average time
  • 0.4
    CEUs
 
 
 

Course Description

Course Title: Understanding Artificial Intelligence


Course Description:

Picture this: a future where machines collaborate with humans seamlessly, empowering us to transcend the limitations of today and unlock tomorrow's possibilities. This isn't a distant dream; it's the vibrant reality unfolding before us, driven by the transformative force known as Artificial Intelligence (AI). Welcome to "Understanding Artificial Intelligence," a course meticulously designed to not just inform, but to radically transform your understanding, skills, and potential in the landscapes of technology and beyond.

Imagine stepping into a realm where technology doesn't just automate tasks but innovatively solves problems, revolutionizing our everyday lives. From predicting weather patterns to diagnosing medical conditions, AI stands as the invisible architect reshaping society. By enrolling in this course, you will become conversant in the language of AI, empowered to harness its capabilities to elevate industries and touch lives on a global scale.

This course unfolds like a storybook adventure, beginning with the compelling history of AI's evolution. You'll traverse through pivotal milestones in AI development, marveling at how far we've come from the days of basic rule-based systems to the sophisticated neural networks and deep learning models of today. Each module reveals a new chapter, each lesson a key that unlocks the mysteries of complex data and intelligent algorithms that lie behind AI's awesome power.

Prepare to delve into the intricacies of machine learning, uncovering the secrets of adaptive algorithms that fuel innovations such as cutting-edge healthcare diagnostic tools and predictive analytics in business. Imagine the thrill of understanding architectures that mimic human cognition, fueling capabilities that once belonged solely to the realm of science fiction. You'll explore neural networks, from Feedforward structures to Long Short Term Memory (LSTM) networks, demystifying the complex algorithms that drive technologies like autonomous vehicles and natural language processors.

But what sets this course apart is not just its content, but its transformative promise. In exploring the profound impact of AI, you'll discover how it powers inclusive education models, refines cross-cultural communication, enhances financial systems with precision tools like personalized credit scoring, and steers self-driving cars. Throughout, you will be invited to think critically and ethically about how AI is reshaping the world—challenging you to not only follow the future of AI but to actively shape it.

Moreover, imagine being part of a global community, where learning is dynamic, engaging, and immersive. Interaction with peers and mentors occurs in real-time, irrespective of geographic boundaries, uniting diverse minds around the shared goal of mastering AI. Discussions extend beyond theoretical understanding into practical application, with real-world projects providing a meaningful context for your learning journey.

And here's a glimpse into the true magic of this course: it connects human aspirations with AI's limitless potential. Imagine applying these technologies not just to adapt and survive but to thrive, pioneering solutions to environmental challenges, transforming agriculture with intelligent automation, and crafting empathetic, responsive learning environments. As you journey through this course, you won't just learn how AI works; you'll uncover how it can redefine careers, elevate industries, and shape the very fabric of our societies.

In embracing this course, you're not just signing up for another class; you're committing to a journey of transformation. You're choosing to lead. The future of AI is here, and the possibilities are boundless. Are you prepared to ignite your curiosity, enhance your expertise, and become a steward of the AI revolution? This course is your launchpad. Enroll today, and step confidently into a future teeming with knowledge, possibilities, and impact.

Courses Frequently Bought Together:
  • Completely Online
  • Self-Paced
  • 6 Months to Complete
  • 24/7 Availability
  • Start Anytime
  • PC & Mac Compatible
  • Android & iOS Friendly
  • Accredited CEUs
Universal Class is an IACET Accredited Provider
 
 

Course Lessons

Lesson 1. Artificial Intelligence: Powering the Future

Artificial Intelligence (AI) is revolutionizing various fields, performing tasks requiring human intelligence through learning, reasoning, and problem-solving. Its evolution has given rise to disciplines like Machine Learning (ML) and Deep Learning, transforming industries from healthcare to agriculture with enhanced efficiency and personalization. 20 Total Points
  • Lesson discussions: Reasons for Taking this Course
  • Assessment: Lesson 1 Review Exam

Lesson 2. Building Machines That Think: AI's Historical Voyage and Future Potential

Machine learning redefined AI, allowing systems to evolve through data-pattern recognition and predictive analysis, illustrated by applications in fields such as weather forecasting and medical diagnostics. This transition from symbolic AI to adaptive machine learning underscores a pivotal shift in tackling complex tasks by transcending predefined rules with intelligent algorithms. 20 Total Points
  • Assessment: Lesson 2 Review Exam

Lesson 3. Machine Learning Unveiled: Revolutionizing Industries with A.I.#

Students embracing machine learning immerse themselves in AI's intricate mechanisms, from predictive models in spam detection to algorithms driving consumer insights for businesses. Engaging with these frameworks prepares them to contribute significantly to technological advancements, promoting sustainability and enhancing life quality through robust AI applications. 20 Total Points
  • Assessment: Lesson 3 Review Exam

Lesson 4. Exploring Architectures: Feedforward to LSTM

Neural networks, simulating brain-like structures, have transformed AI with their ability to process complex datasets, affecting sectors from healthcare to autonomous vehicles. Their architectures, like CNNs and RNNs, excel in tasks such as image classification and language translation by extracting hierarchical and temporal features. 20 Total Points
  • Assessment: Lesson 4 Review Exam

Lesson 5. Decoding Linguistic Challenges with Natural Language Processing

Diving into the world of AI unleashes the power of Natural Language Processing (NLP), a field connecting humans and machines by making human language understandable to computers. NLP's capabilities extend from everyday applications like chatbots to sophisticated systems enhancing fields like healthcare and finance, representing a transformative leap in AI's integration into daily life. 20 Total Points
  • Assessment: Lesson 5 Review Exam

Lesson 6. AI in Action: The Expansive Role of Computer Vision Today

Convolutional Neural Networks (CNNs) have pioneered a significant shift in computer vision by mimicking human-like visual processing capabilities, thus handling intricate image data with remarkable accuracy. This innovation has driven diverse applications, from medical diagnostics to dynamic surveillance systems, enhancing operational efficiencies globally. 19 Total Points
  • Assessment: Lesson 6 Review Exam

Lesson 7. Innovations in Automation: Transforming Agriculture, Transportation, and Finance

In financial markets, robo-advisors democratize sophisticated investment strategies by analyzing large datasets and predicting market trends. This shift grants individuals access to financial tools, empowering them with confidence and autonomy in pursuing investment goals. 13 Total Points
  • Assessment: Lesson 7 Review Exam

Lesson 8. Unveiling the Future of Inclusive Education Models

Change management models provide frameworks for managing transitions, with approaches like Kotter’s and Lewin’s offering strategic insights tailored to different organizational settings. Balancing soft cultural tones with structural strategies equips leaders to foster inclusive, innovative workplace dynamics. 18 Total Points
  • Assessment: Lesson 8 Review Exam

Lesson 9. Cultural Literacy: Mastering the Art of Global Communication

Cross-cultural communication involves navigating diverse communication contexts, such as high-context and low-context cultures, which determine how messages are conveyed. By understanding these cultural variations, one can adapt communication approaches to foster mutual understanding and prevent miscommunications. 9 Total Points
  • Assessment: Lesson 9 Review Exam

Lesson 10. The Evolution of AI in Gaming: From Nim to Grand Theft Auto

Video games serve as a testament to AI's transformative power, evolving from simplistic strategic models to immersive environments with real-time adaptive AI, as seen in games like Space Invaders and The Sims. This progression heralds the potential for AI to redefine not only entertainment but also applications in urban planning, education, and beyond. 17 Total Points
  • Assessment: Lesson 10 Review Exam

Lesson 11. Unveiling AI: From Rule-Based Systems to Deep Learning

Continuous improvement and adaptability, driven by stakeholder feedback, foster innovation and operational efficiency in change management. Engaging stakeholders through systematic feedback collection ensures organizational resilience, aligning processes with real-world needs while embracing proactive change strategies. 20 Total Points
  • Assessment: Lesson 11 Review Exam

Lesson 12. AI's Profound Impact on Modern Finance

The growing role of AI in financial markets highlights capabilities like real-time fraud detection and personalized credit scoring, enhancing customer security and access to financial products. While promising advancements, these technologies challenge institutions to reconcile efficiency with ethical use of personal data and maintaining transparency in AI decision processes. 19 Total Points
  • Assessment: Lesson 12 Review Exam

Lesson 13. The Journey of Self-Driving Cars Through Time and Technology

The trajectory of self-driving cars mirrors the integration of AI, emphasizing the transformation from conceptual prototypes to robust systems tackling real-world challenges. Central to this evolution are sensor technologies and machine learning, which advance vehicular autonomy and shape future transport paradigms. 19 Total Points
  • Assessment: Lesson 13 Review Exam

Lesson 14. The Role of AI in Preserving Planetary Health

AI-driven climate models simulate scenarios to predict and prepare for climate events, aiding in community resilience planning and safeguarding against natural disasters. 9 Total Points
  • Assessment: Lesson 14 Review Exam

Lesson 15. Active, Engaged, and Empathetic Classrooms: The Future of Learning

Technological integration personalizes education, allowing digital tools to redefine learning processes through immersive experiences like virtual reality tours. This integration seamlessly bridges theory and practical application while promoting lifelong exploration and scholarly engagement. 16 Total Points
  • Lesson discussions: End of Course Poll; Course Comments
  • Assessment: Lesson 15 Review Exam
259
Total Course Points
 

Learning Outcomes

By successfully completing this course, students will be able to:
  • Discuss the ethical challenges associated with AI, such as bias, privacy concerns, and job displacement, and propose strategies for responsible AI implementation.
  • Describe the core components of Artificial Intelligence, including machine learning, deep learning, and natural language processing, and explain their significance in various sectors.
  • Define the historical milestones of artificial intelligence from ancient philosophy to contemporary machine learning frameworks, demonstrating comprehension through concise summaries.
  • Identify the influence of early AI pioneers like Alan Turing and Norbert Wiener on modern AI technologies by analyzing specific contributions and their lasting impact on AI research.
  • Define and explain the differences between supervised, unsupervised, and reinforcement learning by accurately matching descriptions to each learning type.
  • Demonstrate understanding of linear regression and decision trees by classifying given datasets or predicting outcomes using these algorithms.
  • Demonstrate understanding of ethical considerations and challenges associated with deep learning, including data privacy, algorithmic bias, and resource consumption.
  • Recognize key neural network architectures and their applications in image and speech recognition, healthcare, and autonomous vehicles.
  • Analyze the effectiveness of NLP techniques such as transformer-based models in real-world applications like sentiment analysis and language translation by evaluating their impact on data accuracy and efficiency.
  • Define and describe the key concepts of tokenization, stemming, and lemmatization in NLP and apply them to a dataset for enhanced analysis.
  • Define the roles of convolutional neural networks (CNNs) in enhancing image recognition by analyzing their multi-layered architecture for beginner AI students.
  • Demonstrate the application of CNNs in detecting and categorizing complex objects through practical examples and case studies, enabling learners to connect theory with real-world outcomes.
  • Define the impact of automation on diverse industries such as finance, agriculture, and transportation by analyzing its role in reshaping human potential and productivity.
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 

Additional Course Information

Online CEU Certificate
  • Document Your Lifelong Learning Achievements
  • Earn an Official Certificate Documenting Course Hours and CEUs
  • Verify Your Certificate with a Unique Serial Number Online
  • View and Share Your Certificate Online or Download/Print as PDF
  • Display Your Certificate on Your Resume and Promote Your Achievements Using Social Media
Document Your CEUs on Your Resume
 
Course Title: Understanding Artificial Intelligence
Course Number: 57701046
Languages: English - United States, Canada and other English speaking countries
Availability: This course is accessible online throughout all states, including California, Texas, Florida, New York, Pennsylvania, Illinois, Ohio, and Georgia. It's also available in top English-speaking countries like the United Kingdom, Canada, Australia, and New Zealand.
Last Updated: January 2025
CEU Value: 0.4 IACET CEUs (Continuing Education Units)
CE Accreditation: Universal Class, Inc. has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET).
Grading Policy: Earn a final grade of 70% or higher to receive an online/downloadable CEU Certification documenting CEUs earned.
Course Type: Curriculum-Based, Online Class
Instructional Method: Self-Paced, Asynchronous
Assessment Method: End of lesson review exams and course final exam
Course Fee: $120.00 U.S. dollars

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