Business is about AI

The essential guide to Applied AI in business

Master the new foundation of business and technology

This guide provides a comprehensive overview of Applied AI—the use of Artificial Intelligence and Machine Learning (ML) to drive practical business value, automate decision-making, and create new revenue streams. Applied AI is the skill set that solves problems for the future-ready enterprise.

What is Applied AI?

Applied AI is the discipline of taking foundational AI models and algorithms and integrating them directly into business processes to achieve specific, measurable outcomes. It focuses on the application and implementation of AI, not the theoretical research behind it.

Applied AI focuses on:

  • Automation of Knowledge Work: Using LLMs (Large Language Models) and generative tools to automate content creation, report summarization, and data processing.

  • Predictive Analytics: Building ML models to forecast sales, predict customer churn, or optimize supply chains.

  • Customer Experience (CX) Enhancement: Implementing AI-powered chatbots, personalized recommendations, and instant support tools.

In the AI era, business value comes from people who can translate complex AI capabilities into simple, profitable business solutions.

Half of AI job postings are outside of tech

49-51% of AI job postings are outside of IT and computer science occupations according to Lightcast job postings data as of 2025. Job postings mentioning at least one AI skill advertised salaries that were an average of 28% higher that those without. Get the salary boost with the skills in demand.

High-growth careers and salaries in Applied AI

Applied AI skills are commanding premium salaries across all industries because they directly impact efficiency and revenue. A credential in this domain positions you as the critical bridge between technology and business results.

AI Product Manager Image

Information Systems Managers

Oversees tech development and strategy, including AI initiatives

Average Annual Salary: $164,070

Copy of AI Product Manager Image

Data Scientist

Uses analytical tools and models to extract meaningful insights from data, driving predictive business strategy

Average Annual Salary:
$112,590

AI Pillar Page 3

Prompt Engineer

Focuses on optimizing the inputs (prompts) and outputs of large language models for business use cases

Average Annual Salary: 
$182,000

Data Analyst

Turns raw data into insights by collecting, organizing, and analyzing it. Using Excel, SQL, and Tableau, they uncover trends that support smart business decisions

Average Annual Salary:
$103,790

Living in an AI world

What is AI and how does it function?

We teach AI. We use AI. We show you how to use AI tools. This video was created using Google's NotebookLM. Check out the overview, and check out NotebookLM for yourself!

Learn more about AI, Business, CX, Project Management and Product Management


Future-proof your career for the AI economy

Some of our future-forward AI-related certificates

AI in Business Specialist

The following certificates make up our first stackable certificate in AI:

Intro to AI and Machine Learning

This course provides an in-depth exploration of Artificial Intelligence (AI) and Machine Learning (ML), highlighting their key concepts, terminologies, and historical development. Students will differentiate between narrow and general AI. Students will explore GenAI, including GenAI tools for productivity. Additionally, the course will address ethical considerations in AI development and application, equipping students with the knowledge to critically assess the impact of AI and ML in various domains through case studies.

AI Technologies for Business

This course will provide students with a practical understanding of the core AI technologies that are transforming businesses across a wide range of industries. This course dives deeper into the principles and applications of Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Students will explore how these technologies are being used to solve real-world business problems and create new opportunities. The course will emphasize hands-on learning through case studies, projects and the use of popular AI tools and platforms.

Big Data and AI in Business

This course focuses on leveraging big data technologies alongside artificial intelligence to solve complex problems and drive innovation in various fields. Students will explore advanced techniques for processing and analyzing massive datasets, integrating AI models, and implementing solutions for real-world challenges. The course also emphasizes critical thinking about ethical considerations and data biases in AI and big data applications.

CX and Marketing Specialist

This introductory certificate in Customer Experience (CX) and Marketing provides valuable foundational skills and builds to an intermediate level.

Customer Experience Fundamentals

This course delves into the essential principles of Customer Experience (CX), distinguishing it from related concepts such as user experience and product experience. Students will explore the significance of CX within modern business environments, understanding its critical role in driving customer satisfaction and loyalty. The course covers the stages of the customer journey, teaching students to illustrate and leverage customer journey mapping processes effectively. Key performance indicators (KPIs) such as Customer Effort Score (CES), Net Promoter Score (NPS), and customer satisfaction will be defined and analyzed using various CX measurement tools. Additionally, students will explore tools and systems used in CX. 

Digital Marketing Fundamentals

This course provides undergraduate students with a comprehensive understanding of digital marketing strategies, tools, and best practices, preparing them for industry certifications from major companies. Students will explore key areas of digital marketing, including search engine marketing (SEM), social media marketing, paid advertising strategies, and performance measurement. The course emphasizes the use of platforms  for creating effective campaigns and measuring success through data analytics. By the end of the course, students will be equipped with the knowledge and practical experience to develop and optimize digital marketing campaigns and achieve certification in these leading industry platforms.

B2B and B2C Sales

This course explores the distinct landscapes of business-to-business (B2B) and business-to-consumer (B2C) sales. Students will examine the unique characteristics, challenges, and opportunities presented by each sales model, including differences in customer profiles, purchasing processes, and relationship management.  Students will explore into the core principles of effective selling, covering the sales process from lead generation and qualification to closing deals and nurturing long-term customer relationships.  Students will learn practical techniques for needs identification, value proposition development, objection handling, and negotiation. Customer Relationship Management (CRM) systems and their role in managing customer interactions, streamlining sales processes, and leveraging data for informed decision-making are examined.  Through case studies, simulations, and real-world examples, students will develop a comprehensive understanding of both B2B and B2C sales strategies.

Future-Ready Skills Certificate

This certificate is designed to prep you to accelerate your career growth. Great for those new to the workforce and those experienced but wanting to build their professional skills and brand.

Intro to Career Growth

This course puts students in control of their career development with the essential skills and knowledge to prepare for and advance their careers effectively. Topics include career preparation, like resume building, job search strategies, and interview techniques. Students will also learn the fundamentals of networking both physically and virtually, exploring strategies to build and maintain professional connections. Additionally, the course covers basic business tools like Microsoft Word, Excel, and other essential software, enabling students to develop proficiency in these tools for their professional use. Through practical exercises, workshops, and real-world applications, students will gain the skills needed to successfully navigate the job market and achieve their career goals.

Foundations of Digital Business Communication

This course provides students with the essential skills necessary to succeed in a complex business environment where communication is essential to positive outcomes. Differences between traditional and digital communication are discussed, and the use of multiple chat platforms and collaboration tools are explored. Students will create their own, audience-specific content, and simulate conducting online meetings. They will create their own digital presentation aligned with professional writing standards. Students will also explore ethical considerations in digital communication, including those brought up with the use of AI and automation.

Technology and Innovation: Disruption in the Modern Workplace

This introductory course explores the profound impact of technological innovation on the modern workplace. Students will gain an understanding of how disruptive technologies such as artificial intelligence, blockchain, and the Internet of Things (IoT) are transforming industries and redefining the nature of work. The course covers topics including digital transformation, automation, the gig economy, remote work, and the ethical implications of technological advancements. Through case studies and projects, students will learn to examine the challenges and opportunities presented by these disruptive technologies and how to leverage them for career and organizational growth.

Product Management Specialist

Product management skills are increasingly in demand. This first certificate gives you both core and intermediate skills.

Foundations of Product Management

This course provides a comprehensive introduction to product management, covering the essential skills and knowledge required to manage a product throughout its lifecycle. Students will learn about market research, product strategy, and the fundamentals of product development. The course also introduces agile development principles and practices, emphasizing the role of the product manager in an agile environment.

Agile Product Development and Management

This course delves deeper into agile methodologies and their application in product management. Students will explore various agile frameworks, such as Scrum and SAFe, and learn how to effectively manage product backlogs, sprints, and releases. The course also covers advanced topics in product development, including user story mapping, prioritization techniques, and stakeholder management.

Advanced Product Management and Innovation

This course focuses on advanced product management techniques and innovation leadership. Students will learn about performance measurement, key performance indicators (KPIs), and the use of data analytics in product management. The course also covers innovation strategies, including design thinking and lean startup methodologies, to drive product innovation and continuous improvement. 

Agile, AI, and Portfolio Management Expert

This advanced project management certificate also includes portfolio management, and has an increased focus on AI.

Agile Project Management

This course provides students with an in-depth understanding of agile project management methodologies, preparing them for certification as Agile Certified Practitioners and SCRUM Masters. Students will explore core agile principles, with a focus on the SCRUM framework, Kanban, and other agile methods, gaining the skills necessary to effectively manage projects in dynamic, fast-paced environments. Emphasis will be placed on scaling agile practices for larger teams and complex projects, and students will learn to leverage a variety of agile tools and techniques to drive team collaboration and project success. By the end of the course, students will be equipped with both the theoretical knowledge and practical experience to earn certification and lead agile teams with confidence.

Advanced Portfolio Management

Students will gain a comprehensive understanding of portfolio management, aligned to industry-standard frameworks. They will explore the processes, tools, and techniques necessary for managing a portfolio of projects and programs, focusing on strategic alignment, portfolio governance, risk management, resource optimization, and performance measurement. The course is designed to help students develop the skills to manage portfolios effectively, while working towards industry standard exams, and advancing their career in portfolio management.

AI in Project Management

This advanced course explores the integration of Artificial Intelligence (AI) into various aspects of project management, emphasizing how AI tools and techniques can enhance decision-making, improve efficiency, and support innovation throughout the project lifecycle. Students will apply their foundational knowledge of project management alongside AI methodologies to solve real-world project management challenges, focusing on automation, predictive analytics, resource optimization, and advanced communication strategies.

AI for Business Growth Practitioner

This advanced certificate also includes marketing analytics and AI models for product strategies.

Marketing Analytics and AI

This course explores the intersection of AI and marketing. Students will learn how to leverage AI and machine learning techniques to analyze marketing data, understand customer behavior, and optimize marketing campaigns.  The course covers topics such as customer segmentation, predictive analytics for marketing, personalized recommendations, sentiment analysis, and marketing automation using AI. Students will gain hands-on experience with relevant AI tools and platforms, applying these technologies to real-world marketing challenges and developing data-driven strategies for improved marketing effectiveness and ROI.

AI in Consumer and Enterprise Products: Strategy and Development

This course explores the strategic integration of AI into consumer and enterprise products, examining key trends, competitive advantages, and business applications. Students will evaluate AI-driven business models, develop AI-enhanced product strategies, and apply AI tools to accelerate product development, including automating coding and software engineering processes. Emphasis will be placed on user experience (UX), personalization, and the ethical and regulatory considerations of AI deployment. Students will design a mock-up prototype of AI-powered business solutions while addressing challenges such as scalability, data privacy, and bias.

AI-Powered Decision Making and Business Intelligence

This course explores how artificial intelligence transforms business decision-making by enabling predictive analytics, business intelligence, and strategic automation. Students will learn to leverage AI-driven frameworks, machine learning models, and data visualization tools to extract insights, optimize operations, and drive competitive advantage. Emphasizing practical solutions, the course equips learners with the skills to design and implement AI-powered business intelligence solutions that enhance decision-making across industries.

Digital Marketing and Customer Experience Expert

This advanced certificate is for marketing professionals ready to take it to the next level:

Nudge Theory and Analysis

This course explores the principles and applications of nudge theory in business, customer experience, and UX design environments. Students will learn how subtle changes in the environment can influence decision-making and behavior, leading to improved outcomes for businesses and customers. The course covers the intersection of AI with nudge theory, examining how artificial intelligence can be used to personalize and optimize nudges for maximum impact. Students will also gain hands-on experience with contemporary tools and techniques used in nudge design, analysis, and implementation. Students will develop the skills needed to apply nudge theory effectively in real-world business and UX design scenarios.

Advanced CX and Design Thinking

This advanced course focuses on the creation of exceptional customer experiences through design thinking methodologies and a deep understanding of user needs. Students will learn to map more complex customer journeys, identify pain points, and design innovative solutions that enhance customer satisfaction. The course includes the use of customer feedback, behavioral data, and usability testing to create user-centered digital experiences that foster engagement and loyalty.

Advanced CRM and Data-Driven Marketing Tools

This course explores the strategic use of Customer Relationship Management (CRM) tools and other data-driven marketing platforms to manage and enhance customer interactions. Students will learn to segment customer data, automate communication, and analyze customer behaviors to drive personalized marketing strategies. Emphasis will be placed on using CRM software to improve customer retention and loyalty while maximizing marketing ROI.

 

 

Prompt Engineer salary data from LiftmyCV, 2025; Information Systems Manager, Data Analyst and Data Scientist salary data from Bureau of Labor Statistics, May 2024