AIA6600

Artificial Intelligence

Artificial Intelligence considers the business applications of machine learning, and how AI supports the discovery of meaningful patterns in data and adds insights into predicting performance and increasing productivity. Learners explore advanced concepts in machine learning, including details of decision tree algorithms, the QUEST algorithm, and missing data.

The course covers four major topics: first, machine learning and neural networks; second, value creation across the value chain phases and various industry verticals; third, elements of successful artificial intelligence transformation; and fourth, artificial intelligence use cases across retail, electric utilities, manufacturing, healthcare, and education.

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Course level

Course level

Graduate

Course duration

Course duration

max. 8 weeks

Estimated time per week

Estimated time per week

10-15 hours

Course prerequisites

Course prerequisites

None

Cost

Cost

$ -

Course credits

Course credits

3

Relevant jobs

Relevant jobs

Data scientists, Analysts, Developers, Software Engineers

What will I learn?

Apply machine learning and neural networks concepts

Measure the value proposition of machine learning across various verticals and value chain phases

Interpret the connection between an organization that operates in both global and domestic environments regarding culture and organizational structure

Apply neural networks and convolutional neural networks used for image recognition

Implement the Python ML ecosystem as a common ML standard

Analyze patterns in massive data sets using popular algorithms such as decision trees, clustering, and regression analysis

Apply TensorFlow as one of the key machine learning algorithms to develop various models

Develop a roadmap for artificial intelligence implementation across the value chain phases of different verticals

Key Skills

Artificial Intelligence (AI)Data scienceMachine learning (ML)Deep learning

How will I learn?

Learning Experience

Your course starts on the first of the month. Each course consists of six modules, each module will take you one week to complete and each course is designed to take you eight weeks to complete. Nexford’s learning design team has purposefully created courses to equip you with competencies mapped to the skills employers are looking for. Each course has 5-7 learning outcomes based on the skills employers need. Everything you learn gives you measurable skills you will use to succeed in today’s world of work.

Nexford courses are not live or recorded lectures. Instead, they’re reading, videos, interactive elements, quizzes and relevant case studies. Programs include assessments, peer-to-peer discussions, and a final project to practice what you’ve learned in a real-world context. Program content is available 24/7 during the course, and you have opportunities for collaboration and networking with learners during and after your program. Our global community of learners work at top companies such as Microsoft, Deloitte, and Google.

You'll have 24/7 access to success advisors to support you. Faculty also provide you world-class support. Book appointments with them, get individual feedback, and attend regular optional webinars. Nexford courses are rigorous and they encourage critical thinking - because we care about what you know how to do not what you know you have regular hands-on assessments reflecting the business world.

Course Outline
ModulesSchedule
1: Machine learning, data sciences and artificial intelligenceDay 1-10
2: Artificial intelligence value creationDay 11-17
3: Five elements of successful artificial intelligence transformationDay 18-24
4: Use of QUEST and CS5.0 advanced pattern analysis algorithms in artificial intelligenceDay 25-31
5: Use of TensorFlow, boosting and bagging advanced pattern analysis algorithms in artificial intelligenceDay 25-31
6: Roadmap for artificial intelligence implementation across the value chain phases of different verticalsDay 32-38
7: Final projectDay 39-45
How will I be graded?

Across the duration of the course, you will undertake five Formative Assessments and one Final Project.

The summative assessment is your final project and achieving a passing grade on this assessment is required to pass the course. The minimum passing grade at Nexford University is a C or above. (70% or above).

Grading Scale
Grading Weights
A 90%-100%Module Assignments30%
B 80%-89%
C70-79%Final Project Milestones30%
F70%
IIncompleteFinal Project40%
WWithdrawnTotal100%
What will I get after completing the course?

You'll get real skills you can use at work, straight away. At the end of each course, you'll also get a digital badge that you can put on your LinkedIn profile to showcase your skills.

Once you've taken one course, you can take more. Using stacked credentials, you’re able to take enough courses to make a certificate, and take enough certificates to build a degree.

If you apply for a Nexford certificate or degree, you'll get credit for each course you take.

What support will I receive?

When you have a dedicated team on your side, you'll never be alone studying at Nexford. Hailing from many different countries and with online education expertise, our faculty provides you world-class support. Ask them questions during one-to-one office hours or live chat , email them any time, and get individual feedback on your assessments.

Whilst you’re learning, you’ll also have full access to the free Nexford online library, which includes access to millions of full-text articles, industry reports and key sources such as the Wall Street Journal, the Financial Times and The Economist.

LinkedIn Learning: unlimited access with Nexford

Support your Nexford goals with access to LinkedIn Learning during your program, at no additional cost. Explore the learning hub of the globe’s biggest professional networking platform to:

  • Power your career: choose from over 16,000 expert-led courses, from remote working to data science
  • Show off your skills: earn a certificate when you complete a course
  • See what’s trending: LinkedIn Learning adds 25 new courses each week
  • Tailor your learning: choose relevant courses based on your experience, LinkedIn profile and goals
  • Test what you’ve learned: use LinkedIn Learning assessments

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