Introduction to AI and Digital Literacy
The Artificial Intelligence and Machine Learning Suite will prepare you with a practical knowledge foundation of key definitions, applications, processes, techniques, and more, enabling you to sharpen your knowledge and skills in the fields of AI and machine learning.
New Course!
- Learn the Enrollment Process
- Personalized career consultation
- Live instructor led online and in-class small group training
- Competitive tuition , scholarships
- Certificate of Completion
- Opportunities for industry recognized IT certifications (optional)
Bootcamp Eligibility
- No college degree, IT background or prior experience is needed.
- This bootcamp is open to all with working knowledge of English language.
WHY TO ENROLL?
Are you looking to change career paths and break into the tech industry, advance in your current career, or expand your knowledge? If yes, and if you are hard working with a drive to succeed, then this could be for you. Other reasons this program might be the right move:
- Artificial Intelligence and Digital Literacy knowledge can get many tasks accomplished faster.
- Gain the knowledge and skills to learn the basics and step forward to a new career, certification and job through HTA
Digital Literacy Course Format
This course helps you:
The Artificial Intelligence and Machine Learning Suite will prepare you with a practical knowledge foundation of key definitions, applications, processes, techniques, and more, enabling you to sharpen your knowledge and skills in the fields of AI and machine learning.
Introduction to Artificial Intelligence
This course will introduce you to various forms of artificial intelligence (AI) and how we interact with AI as consumers in applications like chatbots and recommendation engines. You will see how AI provides analytics in business and consider industries that may be transformed or even disrupted by AI implementations. Next, you will go under the hood to see how computers can “learn” using artificial neural networks and various forms of machine learning. You will review AI applications such as natural language processing, forecasting, and robotics. You will also learn about the AI development process and how AI will affect the workforce. And lastly, you will consider some of the ethical factors in AI deployment.
Introduction to Machine Learning
Machine learning can be used to solve specific kinds of problems when key considerations in selecting data for a machine learning project are implemented properly. You will learn about specific techniques used in supervised, unsupervised, and semi-supervised learning, which applications each type of machine learning is best suited for, and the type of training data each requires.
You will also be able to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Finally, you will explore some of the most significant areas in the very active area of machine learning research.
Suite bundles are not eligible for partial drops or refunds. Transfers to other open sessions of the same course are available. Please refer to your school for additional details regarding drops, transfers, and refunds on Suite bundles. Courses should be taken two months apart to avoid overlapping.
Syllabus
- Introduction to Artificial Intelligence
- Introduction to Artificial Intelligence
- Artificial Intelligence in Business Today
- Machine Learning
- Neural Networks and Deep Learning
- Computer Vision
- Natural Language Processing
- Time Series Forecasting
- Robotics
- Implementing AI
- AI and the Workforce
- AI Ethics
- The Future of AI
- Introduction to Machine Learning
- Introduction to Machine Learning
- Which Problems Can Machine Learning Solve?
- The Machine Learning Pipeline
- Working with Data
- Supervised Learning: Regression
- Supervised Learning: Classification
- Ensemble Methods
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
- Building and Deploying Machine Learning Apps
- Beyond Machine Learning
Requirements
Prerequisites:
There are no prerequisites other than basic computer skills to take this class.
Requirements:
Hardware Requirements:
- This course can be taken on either a PC or Mac.
Software Requirements:
- PC: Windows 8 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
- Adobe Acrobat Reader.
- Software must be installed and fully operational before the course begins.
Other:
- Email capabilities and access to a personal email account.
- This course is delivered by our Online education partner: Internet Wealth University in collaboration with Hope Training Academy
Introduction to AI and Digital Literacy (Career Explorer)
$465 USD
**Learn more about HTA eligible funding options.
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