Advanced Artificial Intelligence & Robotics
- Overview
- Admissions
- Academics
- What You'll Learn
- Benefits
Organizations today have vast amounts of data at their disposal, but success requires blending analytical rigor with business acumen. The Advanced Certificate in Artificial Intelligence & Robotics equips professionals with essential future-of-work skills to navigate Industry 4.0. The curriculum covers Artificial Intelligence, Robotics and Automation, the Internet of Things (IoT), Cybersecurity Leadership, and Data Science for Decision Making. Designed to meet the demands of a hyperconnected world, this program fosters expertise in computer science, critical thinking, and interpersonal skills.
Who Should Register
Who Should Register
This program is ideal for professionals seeking to:
- Advance their careers in technology-driven industries.
- Integrate emerging technologies into business strategies.
- Build expertise in artificial intelligence, robotics, and cybersecurity.
Why Choose Nexford
Nexford University is a mission-driven Public Benefit Corporation based in Washington, DC. By aligning credentials with workforce demands, Nexford empowers learners with the skills needed for lifelong success. Through innovation, advanced learning analytics, and personalized education models, Nexford creates impactful educational experiences. Nexford's commitment to public benefit over profit ensures accessible, future-focused education for global learners.
Admission Requirements
To enroll, applicants must provide:
- Government-issued identification.
- Passport-style photo or selfie.
- Evidence of English language proficiency.
- Official transcript verifying a bachelor’s degree from:
- An accredited U.S. institution or international equivalent.
- Documents not in English must be accompanied by official translations from:
- A validated institutional official, embassy, or Office of Admissions.
Additional Requirements for MBA Enrollment:
- A bachelor’s degree is mandatory for MBA applicants.
Curriculum
Required Courses
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.
AIA6650 Robotics and Automation
Robotics and Automation engages learners in examining the Intelligent Process Automation (IPA) five core technologies. These are the following: robotic process automation (RPA), smart workflow, machine learning/advanced analytics, natural-language generation (NLG) and cognitive agents.
You’ll learn the inner workings of each of these five technologies during the course. RPA is a software automation tool that automates routine tasks. Smart workflow is a process-management software tool that integrates tasks performed by groups of humans and machines. Machine learning/advanced analytics includes algorithms that identify patterns in structured data, such as daily performance data. Natural-language generation (NLG) is a software engine that creates seamless interactions between humans and technology. Cognitive agents are technologies that combine machine learning and natural-language generation to build a completely virtual workforce.
MHY6700 Internet of Things
Internet of Things engages learners in examining IoT operating systems architectures, standards, and ecosystems. You’ll delve into industrial automation value proposition for IoT, device management, cybersecurity analysis, best-practices in IoT ecosystem design, and monetizing IoT under different commercial models and across the value chain.
MHY6750 Cybersecurity Leadership
Explore how our hyperconnected world, comprised of a myriad of networks – both machine and human – has brought us to the precipice of a fundamental revolution and redefinition of the human experience and our socio-political and military world order. Crime, news, and even warfare is digital today.
Examine cybersecurity goals, cybersecurity tools, cybersecurity strategies, and how cybersecurity leadership underpins every aspect of cybersecurity strategy.
AIA6550 Data Sciences for Decision Making
Learn the foundation of how to apply advanced analytics skills to complex data analysis and modes. You’ll build an understanding of design, data analytics tools, and advanced analytics translators to communicate complex data-related requirements between data engineers, business, and IT stakeholders.
The course examines four major areas; the momentum gains in the data and analytics revolution; the five elements of successful data analytics transformation; the mapping value in data ecosystems, and data analysis; the models of distribution.
What You'll Learn
- Learn how to apply artificial intelligence and robotic automation to business challenges
- Master soft skills of the future like critical and creative thinking
- Gain a competitive edge in a fast-changing world with hard skills like digital fluency and business analysis
- Make informed business decisions, and lead with confidence: 94% of Nexford learners increased in confidence at work
- Build a network of global professionals from 110+ countries working at firms like Google, Deloitte, and EY
- Earn a degree as well as digital badges as you go – including credentials from LinkedIn Learning
Graduates will be prepared for advanced roles such as:
- Electronics Engineers, Except Computer
- Information Technology Project Managers
- Robotics Engineers
- Robotics Technicians
- Software Developers