AI Terminology - eLearning Bundle CourseNew

Name: AI Terminology - eLearning Bundle
Price: $475 USD
Availability: CourseView.asp?MODE=VIEW&clCourseID=466

Course Details:

Length: 9 courses

Price: $475/person (USD)

Access Length: 6 months

Bulk Pricing: 10+ Contact Us

Course Features:

Instant Access After Purchase

Lecture by Recorded Video

Stop and Start as Needed

Certificate of Completion

Software Lab Included?: No
Cloud Based (requires trial or license)

Delivery Methods:

Self-Paced Online

Individuals & Groups
@ Your Location

Course Overview

AI Terminology - eLearning Bundle: Demystifying the Language of Artificial Intelligence

Step into the world of Artificial Intelligence with confidence! The AI Terminology - eLearning Bundle is your essential guide to understanding the core concepts, processes, and applications driving today's technological revolution. Designed for curious minds and professionals across all sectors, this master bundle breaks down complex AI and Machine Learning jargon into easily digestible insights, empowering you to speak the language of innovation.

What You'll Gain: Navigate the AI Landscape with Confidence

In this comprehensive AI training bundle, you will:

Master Foundational AI & Machine Learning Concepts: Grasp the fundamental definitions and distinctions between Artificial Intelligence (AI) and Machine Learning (ML), including supervised, unsupervised, and simulative learning.
Decipher Key AI Terminology: Learn essential vocabulary related to machine learning processes, such as data sets, feature engineering, model training and evaluation, business goal evaluation, and prediction.
Explore AI Types, Patterns, and Implementations: Discover the various types of AI (e.g., reactive machines, limited memory AI, generative AI) and delve into the "7 Patterns of AI" to understand how AI is applied in real-world scenarios across different industries.
Understand Generative AI's Impact: Gain a clear understanding of generative AI, its definition, and diverse applications in text generation, coding, chatbots, 3D systems, and animation, preparing you for the future of content creation.
Analyze Real-World AI Case Studies: Examine practical examples and case studies, including an AI marketing case study, to see how AI and machine learning frameworks are implemented to solve business problems and drive innovation.
Anticipate Future AI Advancements: Develop an informed perspective on how machine learning compresses research timelines and propels scientific milestones, preparing you to anticipate and adapt to unprecedented technological progress.

Master the Language of AI – Enroll Today!

Don't let complex jargon hold you back. Enroll in the AI Terminology - eLearning Bundle and gain the fundamental knowledge to confidently engage with the world of Artificial Intelligence and Machine Learning. Start your journey to AI literacy now!

Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.

Course Notes

Important Course Information

This is a Lecture-Only eLearning Course. If you would like to practice any hands-on activities, you must use your own software.

Course Objectives:

Define and Differentiate Core AI and Machine Learning Concepts: Learners will acquire a foundational understanding of key Artificial Intelligence (AI) and Machine Learning (ML) terminology, including the distinctions between supervised, unsupervised, and simulative learning, as well as the 7 Patterns of AI.
Understand the Machine Learning Process and Related Terminology: Learners will be able to describe the step-by-step process of machine learning, including framing problems, preparing data, feature engineering, model training and evaluation, and business goal evaluation, alongside defining associated terminology.
Identify and Explain Generative AI Applications: Learners will understand what generative AI is, how it works, and its various applications in areas such as text generation, coding, chatbots, 3D systems, and animation.
Analyze Real-World AI Implementations and Case Studies: Learners will examine practical examples of AI and machine learning in action, including their application in business processes, marketing, and scientific research, to understand their real-world impact.
Anticipate Future AI Trends and Adapt to Technological Progress: Learners will develop an informed perspective on the rapid advancements in AI and machine learning, enabling them to anticipate future developments and understand how these technologies are shaping various fields.

Target Audience

Business Professionals: Managers, executives, and team members who need to understand AI concepts to make informed strategic decisions and communicate effectively about AI initiatives.
Aspiring AI/ML Enthusiasts: Individuals new to the field who want a solid foundational understanding of AI and Machine Learning terms and processes.
Students & Researchers: Those looking to build a strong vocabulary and conceptual framework for further study in AI, machine learning, or related technological fields.
Anyone Navigating the Digital Age: If you encounter AI in your daily life or work, and want to move beyond buzzwords to truly understand the technology.
Professionals interested in AWS Certifications: The Machine Learning terminology courses are structured to enhance skills relevant for those pursuing AWS certifications.

Key Features

Audio Narration
Video
Inline Activities

Exercises
Quizzes
Supplemental Resources

Languages

Audio/Video/Course Text: English.
Subtitles (Closed Caption): N/A.

Course Duration

AI Terminology: 6 hrs 31 min

Essential Career Skills Pack: 2 hrs 23 min

eLearning Training Delivery Method

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.

Lecture utilizing video and recorded screenshots

6-month subscription length

Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

Course Topics

Machine Learning

Course Duration - 10 min

Unlock the power of Machine Learning, the driving force behind personalized recommendations on your favorite apps. From movie suggestions to tailored music playlists and recognizing familiar faces, machine learning is at the heart of these experiences. But its impact goes beyond personal preferences - delve into the intricate world of medical diagnoses, sales analyses, and stock predictions.

Course Objectives:

Describe supervised machine learning, where algorithms discern patterns and make predictions
Train machines to classify items like poisonous mushrooms or forecast the success of a new phone model based on past features
Explain unsupervised learning, where machines autonomously cluster data without predefined labels
Describe how it revolutionizes fields like psychology, uncovering relationships between disorders like autism, Asperger's, and Heller's syndrome
Describe the simulative nature of machine learning
Explain how repeated simulations forge connections within data, leading to groundbreaking insights and more targeted treatments, as seen in the study of autism spectrum disorders
Identify how machine learning compresses research timelines, allowing us to achieve scientific milestones in a fraction of the time it once took
Anticipate a world where progress unfolds at unprecedented speeds, where technology propels us beyond imagination

Machine Learning Terminology and Process for Beginners: Part 1 of 3

Course Duration - 1 hr 10 min

Learn machine learning terminology and processes for beginners step-by-step while gaining solid understanding hands-on. Are you new to machine learning? Are you looking to enhance your skills within the AWS ecosystem or perhaps pursue AWS certifications? Look no further - learn and acquire new skills with this course.

Course Objectives:

Define basic machine learning terminology and process
Frame a machine learning problem
Identify when to use machine learning
Prepare and develop data sets
Define feature engineering and data visualizations
Work with model training and evaluation
Explain business goal evaluation
Define machine learning prediction

Machine Learning Terminology and Process for Beginners: Part 2 of 3

Course Duration - 1 hr 10 min

Course Objectives:

Define basic machine learning terminology and process
Frame a machine learning problem
Identify when to use machine learning
Prepare and develop data sets
Define feature engineering and data visualizations
Work with model training and evaluation
Explain business goal evaluation
Define machine learning prediction

Machine Learning Terminology and Process for Beginners: Part 3 of 3

Course Duration - 1 hr 10 min

Course Objectives:

Define basic machine learning terminology and process
Frame a machine learning problem
Identify when to use machine learning
Prepare and develop data sets
Define feature engineering and data visualizations
Work with model training and evaluation
Explain business goal evaluation
Define machine learning prediction

Artificial Intelligence Intermediate: Exploring AI Types, Patterns, and Implementations

Course Duration - 2 hrs 51 min

Welcome to Artificial Intelligence Intermediate: Exploring AI Types, Patterns, and Implementations. In this course, you'll discover the captivating world of Artificial Intelligence (AI) and learn about its basic principles, various uses, and practical implications.

Throughout the course, you'll delve into the core of AI, exploring its role in automating processes, gaining cognitive insights, facilitating engagement, creating conversational AI, and developing digital twins. By examining the 7 Patterns of AI, you'll gain insights into machine learning frameworks and explore a compelling AI marketing case study.

The course seamlessly transitions to Generative AI, its definition, and applications, covering text generation, coding, chatbots, 3-D systems, and animation. You'll also learn to implement Generative AI in autonomous agents, gaining a comprehensive understanding of its capabilities.

The course includes exercises, allowing you to apply your acquired knowledge. By the end of the course, you should have an in-depth understanding of AI types, patterns, and implementations, ready with practical skills for real-world applications.

Course Objectives:

Define key concepts of Artificial Intelligence (AI)
Identify the 7 Patterns of AI and their applications
Apply machine learning frameworks for practical solutions
Analyze a real-world AI marketing case study
Explain the concept of Generative AI and its applications
Create generative text using AI techniques
Develop basic coding skills for Generative AI and chatbots
Evaluate implementations of Generative AI in autonomous agents

Essential Career Skills Pack

Productivity and Time Management

Course Duration - 30 min

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Course Objectives:

Set your priorities to better manage your time
Improve your productivity by sharpening your focus and multitasking effectively

Detailed Course Outline:

Productiity & Time Management
Prioritization
Getting Things Done

Procrastination
Multitasking & Focus
Summary

Basic Digital Skills

Course Duration - 13 min

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

Course Objectives:

Recall the essential digital skills framework
Elaborate on the toolkit of essential digital skills
Identify how to develop or improve your digital skills

Detailed Course Outline:

The Essential Digital Skills Framework
The Toolkit of Essential Digital Skills

Developing Digital Skills
Summary

4 Ways to Boost Creativity

Course Duration - 30 min

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

Course Objectives:

Define creativity
Think outside the box
Develop the right mental attitude
Leverage the power of groups
Ensure managers make it happen

Detailed Course Outline:

What is Creativity at Work?
Learn to Think Outside the box
Develop the Right Mental Capacity

Laverage the Power of Groups
Ensure Managers Make It Happen
Summary

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

Course Objectives:

Understand how to be a great communicator
Become a stronger listene
Appear professional to co-workers and bosses of all ages
Avoid common career blunders that often end careers
Manage expectations for bosses and colleagues
Position yourself for promotions
Make technology your asset, even if you are afraid of technology
Avoid the Not My Job Syndrome
Develop EQ to Match Your IQ
Develop leadership qualities

Detailed Course Outline:

Introduction
The Soft Tech Savvy Way to Always Be Essential
Not My Job, And I Am Happy to Do It
You Can Become a Master Communicator
Feedback Video for The 11 Essential Career Soft Skills
Become a Leader Without the Title or Formal Authority

Your EQ Will Beat a Higher IQ
Building Your Winning Team
Make Every One of Your Seconds Count
Unleash Your Inner Anthony Robbins
Avoid Being Uncool
Clothes Can Still Make or Break Your Career
Conclusion The 11 Essential Career Soft Skills
Extra: Developing Your Career Secret Sauce

Related Generative AI & ChatGPT Information:

How Much Do AI Training Courses Cost?

Public instructor-led AI course prices start at $295 per student. Group training discounts are available.

Self-Paced AI eLearning courses cost $200 at the starting point per student. Group purchase discounts are available.

What Generative AI Skills Should I Learn?

A: If you are wondering what Generative AI skills are important to learn, we've written a Generative AI Skills and Learning Guide that maps out Generative AI skills that are key to master and which of our courses teaches each skill.

Read Our Generative AI Skills and Learning Guide

How Can I Learn Generative AI?

Learning Generative AI involves understanding the foundational concepts of artificial intelligence, machine learning, and deep learning, followed by hands-on practice with relevant tools and frameworks.

Certstaffix Training offers three efficient methods to pursue your Generative AI training: Engaging Live Online Classes, Tailored Onsite Corporate Training for teams and Self-Paced eLearning.

View our Generative AI courses and available training methods.

Is It Hard to Learn Generative AI?

Learning Generative AI can vary in difficulty depending on your background and prior knowledge of related concepts.

For individuals with experience in computer science, programming, or machine learning, the process may be more straightforward as it builds upon foundational principles in these areas. For beginners, there can be a steeper learning curve since understanding Generative AI requires grasping concepts like neural networks, data preprocessing, and algorithm training.

However, with the right resources, such as Certstaffix structured courses, hands-on practice, and guidance from experienced instructors, anyone can gradually develop a strong understanding of Generative AI. Like any skill, persistence and consistent practice are key to mastering it.

Does Generative AI Require Coding?

The need for coding in Generative AI largely depends on the tools and platforms being used, as well as the user's goals. Modern Generative AI platforms, such as ChatGPT or DALL·E, often provide user-friendly interfaces that require little to no coding knowledge. These tools enable users to generate content, images, or text through simple commands or prompts.

However, for those looking to customize or build their own Generative AI models, coding is typically required. This may involve knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Understanding coding can also help in fine-tuning models, integrating AI into larger systems, or creating uniquely tailored applications.

Bottom line, while coding can enhance the scope of possibilities, it is not usually necessary for leveraging Generative AI's capabilities as an end user.

Can Anybody Learn AI?

Absolutely, anyone with interest and dedication can learn AI. While having a background in mathematics, programming, or data science can be advantageous, they are not strict prerequisites. Numerous online courses, tutorials, and resources are available to cater to learners of all levels, from beginners to advanced practitioners. The key lies in starting with fundamental concepts, such as understanding algorithms and machine learning basics, and gradually advancing to more complex topics. With consistent effort, anyone can develop the skills required to explore and contribute to the exciting field of AI.

Is it Worth Doing an AI Course?

Deciding whether to pursue an AI course ultimately depends on your goals, interests, and career aspirations. AI is one of the fastest-growing fields, with applications spanning industries such as healthcare, finance, entertainment, and more. Taking a course can be a valuable investment, equipping you with the knowledge and skills to tap into these opportunities. Furthermore, structured courses often provide hands-on projects, mentorship, and certifications that can enhance your resume and increase your credibility in the job market.

However, it’s important to assess the quality of the course and its relevance to your objectives. A well-structured AI course should provide a balance of theoretical knowledge, like understanding algorithms or neural networks, and practical experience with tools such as TensorFlow or PyTorch. Whether you aim to transition into a career in AI, enhance your current role, or simply satiate your curiosity, an AI course can offer significant value when aligned with your ambitions and commitment to learning.

How Is AI Used in Excel?

A: Many of Excel's features and functions are powered by artificial intelligence (AI) or have AI-like capabilities. These tools work to process large amounts of data for users, streamline workflows, and increase accuracy. Some of the best applications of AI in Excel include data analysis, data visualization, and formula generation, but it can also supercharge basic functions. Copilot allows users to harness the power of AI through prompts to provide relevant suggestions and shortcuts. Additionally, ChatGPT can be integrated with the program through the use of an add-on or used in tandem with Excel.

More Information on How Excel Integrates With AI

Where Can I Learn More About AI?

AI Blogs

AI Groups

AI Online Forums

Explore AI Classes Near Me:

Certstaffix Training provides AI classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of AI concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your AI skills. Start learning today and see how Certstaffix Training can help you reach your goals.

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