Flexible HARD SKILLS Courses

Digital transformation is no longer only a technology initiative. It is a leadership challenge that requires the ability to connect business strategy, people, processes, data, automation, and emerging technologies.

Digital Transformation Leadership will help you understand how successful digital transformation works and how to turn new technologies into practical business value. You will explore the foundations of digital transformation and learn how technologies such as Artificial Intelligence, machine learning, cloud solutions, the Internet of Things, digital twins, extended reality, and blockchain are changing products, operations, and organizations.

You will learn how to identify the most important blockers and enablers of transformation, create a compelling digital vision, secure leadership buy-in, map key stakeholders, overcome resistance, and build a culture that supports innovation and continuous improvement.

The course also focuses on one of the most practical areas of digital transformation: Robotic Process Automation (RPA). You will understand where automation creates value, how to identify processes suitable for RPA, and how low-code and no-code technologies can help organizations improve efficiency and redesign the way work gets done.

As a leader, you also need to distinguish genuine business opportunities from technology hype. The course therefore explores the rapidly evolving landscape of RPA, machine learning, cognitive technologies, and AI agents, helping you set realistic expectations and make better-informed technology decisions.

Through practical examples and real-world use cases, you will learn how to move beyond isolated proof-of-concept projects and identify opportunities where automation and digital technologies can deliver broader organizational impact.

You will also discover how to support transformation across the organization by addressing technology and skills gaps, communicating effectively with employees, management, and technology teams, and measuring progress so that transformation continues to evolve.

The course includes expertise from digital transformation specialists including Bruce Sinclair, Tiffany St James, and Ian Barkin. 

Digital Transformation Leadership will give you a practical framework for understanding digital technologies, leading organizational change, and identifying automation opportunities that can improve performance and strengthen competitiveness.

What you'll learn:

• Digital transformation foundations and the technologies driving modern business change
• AI, machine learning, IoT, and digital twins in smart products and operations
• How to identify digital transformation blockers and enablers
• How to build leadership support, engage stakeholders, and manage resistance to change
• How to evaluate and prioritize digital transformation initiatives
• The foundations and business benefits of Robotic Process Automation (RPA)
• How to identify processes suitable for automation and process redesign
• How low-code, no-code, cognitive technologies, and AI agents are changing digital operations
• How to develop stronger digital teams and address technology and skills gaps
• How to measure transformation progress and continuously improve digital initiatives

Artificial Intelligence is rapidly becoming a strategic priority for organizations, but successful adoption requires much more than simply introducing new tools. Enterprise AI Adoption will help you understand how to move from initial experimentation to structured, responsible, and scalable AI implementation across teams and the entire organization.

You will learn how to assess your organization’s AI maturity and readiness, identify gaps, and understand how strategy, culture, talent, technology, and governance influence the success of AI transformation. Practical maturity frameworks will help you determine where your organization currently stands and what steps are needed to progress.

The course shows you how to build a strong business case for AI, connect AI initiatives with organizational strategy, identify valuable use cases, and create an implementation roadmap that moves from pilots to enterprise-wide adoption.

A major focus is placed on AI leadership and governance. You will explore how leaders can set clear priorities, create guardrails, manage ethical and compliance risks, and build an environment where experimentation and innovation can happen responsibly.

Successful AI adoption also depends on people. You will learn how to approach AI upskilling and workforce development, recognize different levels of AI expertise, and create learning pathways that reflect the needs of employees, specialists, managers, and technical teams.

The course also addresses the human side of transformation. You will explore practical approaches to change management, organizational readiness, employee acceptance, and habit formation, including strategies for turning individual AI wins into repeatable team practices.

You will discover why AI adoption often stalls after early experimentation and how structured workflows, practical safeguards, and leadership routines can help organizations integrate AI into everyday work in a sustainable way.

The content also examines the next stage of adoption, including enterprise and agentic AI, helping leaders understand how AI capabilities may evolve from individual productivity tools into more integrated organizational systems.

You will learn from professionals and experts connected with organizations such as LinkedIn, Meta, Figma, Amazon, Accenture, PepsiCo, Microsoft, Starbucks, Vanderbilt University, Stanford Research Institute, and SS&C Blue Prism. Their perspectives bring together practical experience in AI strategy, transformation, leadership, workforce development, and organizational adoption.

Enterprise AI Adoption will give you a practical framework for evaluating AI readiness, designing an adoption strategy, leading organizational change, and turning AI into a sustainable capability that supports productivity, innovation, and long-term competitiveness.

What you'll learn:

• How to assess AI maturity and organizational readiness
• How to identify gaps across strategy, culture, talent, technology, and governance
• How to create a strong business case for AI
• How to design and execute an AI implementation roadmap
• How to identify, prioritize, pilot, and scale AI use cases
• How to establish practical AI governance, ethics, and risk management
• How to design AI upskilling and workforce development initiatives
• How to manage organizational change and employee adoption
• How to turn individual AI experiments into sustainable team habits
• How to prepare for enterprise and agentic AI adoption
• How executives can build practical AI leadership habits and decision-making routines

Generative AI is rapidly changing the way professionals work, but real productivity comes from more than simply asking an AI tool occasional questions. AI-Powered Productivity will show you how to integrate AI into your everyday workflows, delegate tasks more effectively, and build repeatable systems that help you achieve better results with less manual effort.

You will learn practical approaches for working with generative AI tools, AI agents, deep research, spreadsheets, data analysis, and multimodal AI. The course demonstrates how to identify tasks where AI can create real value and how to incorporate these capabilities into your daily work.

A major focus is the shift from using AI as a simple tool to working with it as a team of AI teammates. You will explore how AI can serve different roles, how to delegate work clearly, improve prompting, handle errors, and develop more effective collaboration between human expertise and AI capabilities.

The course also introduces repeatable AI workflows and reusable AI skills. You will discover how structured capabilities can help you move beyond one-off prompts and automate recurring activities such as producing marketing content, organizing information, or transforming unstructured notes into professional reports.

You will also learn how to create AI Playbooks - structured instructions that turn recurring work into reliable and scalable workflows. Using a practical framework, you will map your responsibilities, identify where AI fits, create repeatable processes, and configure AI agents to help execute them.

Short practical challenges will help you integrate AI into your routine without coding or complex technical preparation. You will experiment with actionable methods that can improve productivity immediately and build your confidence in using AI as part of your everyday professional toolkit.

The course also addresses your longer-term professional development in the age of AI. You will explore AI fluency, uniquely human skills, career resilience, networking, entrepreneurial thinking, and lifelong learning, helping you understand how to remain relevant as work continues to evolve.

You will learn from experts including Brice Challamel, Head of AI Strategy and Adoption at OpenAI; Rachel Woods, founder of The AI Exchange; LinkedIn CEO Ryan Roslansky; Aneesh Raman; Dave Birss; and Stephanie Nyarko. Their professional backgrounds include organizations such as OpenAI, Google, Meta, Microsoft, LinkedIn, Bank of America, and L’Oréal.

AI-Powered Productivity gives you a practical system for moving from experimenting with AI to using it deliberately, repeatedly, and effectively in your work.

What you'll learn:

• How to use generative AI tools to improve everyday productivity
• How to work with AI agents, deep research, spreadsheets, data analysis, and multimodal AI
• How to move from one-shot prompts to working with AI teammates
• How to improve prompting, delegation, and error handling
• How to build repeatable AI workflows and reusable AI skills
• How to create and manage AI Playbooks
• How to identify tasks suitable for AI automation and delegation
• How to integrate practical AI solutions into your daily routine
• How to develop AI fluency and future-ready career skills
• How to build a practical system for continuously improving your AI-supported work

Cybersecurity professionals need to understand how attackers think, how vulnerabilities are discovered, and how different attack techniques can affect systems, networks, and applications. Practical Ethical Hacking provides a structured introduction to the core concepts, methods, and defensive principles used in ethical hacking and penetration testing.

The course introduces the foundations of information security, cybersecurity, ethical hacking, and penetration testing. You will learn how ethical hacking methodologies are structured, how security controls support protection, and why legal, ethical, and professional standards are essential when assessing security.

You will explore the principles of network reconnaissance and scanning, including host discovery, operating system identification, web application reconnaissance, cloud asset discovery, and network mapping. The focus is on understanding how security professionals analyze digital environments and identify potential weaknesses before attackers can exploit them.

Another important area is vulnerability analysis. You will learn how vulnerabilities are classified and assessed, how vulnerability assessment tools support security teams, and how findings can be translated into structured reports that help organizations prioritize remediation.

The course also examines the main phases of system hacking and attack techniques, including system access, password security, privilege escalation, lateral movement, persistence, and post-engagement cleanup. These concepts are presented to help you understand attack paths and strengthen defensive thinking.

You will also explore common malware threats, including trojans, viruses, worms, fileless malware, and advanced persistent threat concepts. The course introduces malware analysis principles and defensive countermeasures that help organizations reduce exposure to malicious software.

Network security is covered through topics such as sniffing, spoofing, ARP and DNS attacks, and traffic interception. You will learn how these techniques affect network confidentiality and integrity and how detection and countermeasures can reduce risk.

The course also addresses the human side of cybersecurity through social engineering, insider threats, impersonation, and identity theft, helping you understand why people and organizational processes are often as important as technical controls.

Additional topics include DoS and DDoS attacks, botnets, IDS and IPS technologies, firewalls, honeypots, and web server security. You will examine how these threats and defenses interact and how organizations can strengthen resilience through monitoring, protection, and patch management.

The course is taught by experienced security experts Omar Santos and Nick Garner and includes content associated with Pearson. The source materials also identify professional links with Cisco Systems and Amazon Web Services, bringing industry-relevant cybersecurity perspectives into the learning experience.

Practical Ethical Hacking will help you build a stronger understanding of attack techniques, vulnerability assessment, and defensive security while providing a solid foundation for further development in cybersecurity and ethical hacking.

What you'll learn:

• Information security, cybersecurity, and ethical hacking fundamentals
• Ethical hacking methodologies and penetration testing principles
• Network reconnaissance, scanning, and asset discovery
• Vulnerability assessment and security reporting
• Key phases of system hacking and attack paths
• Password security, privilege escalation, and lateral movement concepts
• Major malware threats and defensive countermeasures
• Sniffing, spoofing, and network security risks
• Social engineering, insider threats, and identity theft
• DoS and DDoS concepts and protection principles
• The role of IDS, IPS, firewalls, honeypots, and web server security

AI agents represent the next step in the evolution of generative AI. Unlike standard AI chatbots, they do not merely respond to individual prompts; they can execute tasks, interact with systems, manage workflows, and collaborate with humans over the long term. The AI Agents in Action course will help you understand how these systems function and how to apply them practically within a business and technology environment.

You will grasp the key differences between generative AI and AI agents and learn to identify scenarios where an AI agent is the right solution. The course draws on practical examples ranging from customer service and data handling to smart environments and workflow automation.

You will learn how to create different types of AI agents using ChatGPT APIs, including a travel website agent, customer service agent, CSV data agent, and smart home agent. The course also addresses essential security practices for prompts and responses so that agent-based applications can be designed more responsibly.

For more advanced enterprise applications, you will explore how to design agentic AI systems from concept to implementation. You will learn how to identify suitable business problems, break complex systems into components, iterate from basic to more advanced architectures, and evaluate important design trade-offs.

The course introduces the CCCD – Continuous Calibration Continuous Development framework, which provides a structured approach for increasing AI autonomy while preserving user trust. You will also examine guardrails, governance, security, and other factors that become increasingly important as agents receive greater responsibility.

AI agents are not only a technical topic. They are also changing how professionals and teams work. You will learn how to delegate tasks to AI agents, maintain quality control, manage long-running assignments, and keep agents aligned with business objectives.

A major focus is placed on the emerging concept of hybrid human-AI teams. You will explore how managers can introduce agents into workflows, divide responsibilities between humans and AI, and build collaboration models that improve productivity without losing appropriate human oversight.

The course also makes AI agents accessible to non-technical professionals. You will discover no-code AI agent platforms and practical approaches for automating everyday work without programming, while considering the ethical and responsible use of automation.

Another important area is human-agent collaboration design. You will explore human-in-the-loop patterns, intelligent escalation, dynamic task allocation, cognitive transparency, correction mechanisms, and safety controls that help humans and autonomous systems work together more reliably.

The learning experience includes content from experts and organizations associated with Pearson, MIT, the University of Oxford, Amazon, LinkedIn, NVIDIA, Google, and Arcitura. This combination brings together technical development, enterprise implementation, business adoption, and responsible human-AI collaboration.

AI Agents in Action will give you a practical understanding of how to build, deploy, manage, and collaborate with AI agents - and how to turn agentic AI from an emerging concept into a useful capability for modern organizations.

What you'll learn:

• Understand the differences between generative AI and AI agents
• Identify business problems suitable for agentic AI solutions
• Create AI agents using ChatGPT APIs
• Build agents for customer service, data access, websites, and smart environments
• Apply security best practices for prompts and agent responses
• Design scalable agentic AI systems for enterprise environments
• Apply the CCCD framework to safely increase AI autonomy
• Use guardrails, governance, and security controls
• Delegate work effectively to AI agents
• Create productive human-AI hybrid teams
• Build simple no-code AI automations
• Apply human-in-the-loop and human-agent collaboration patterns
• Use intelligent escalation, dynamic task allocation, and safety controls

Cybersecurity is no longer only a technical responsibility. Organizations need to connect security standards, legal requirements, business priorities, accountability, risk management, and emerging AI capabilities into one coherent approach.

Cybersecurity and AI will help you understand how to build stronger cybersecurity governance while exploring how Artificial Intelligence and machine learning can support security teams in solving complex cybersecurity challenges.

You will learn how to translate security and compliance requirements into clear, actionable policies and responsibilities. The course introduces a structured four-phase approach to cybersecurity policy and governance, helping you connect policy development with real organizational needs.

A major focus is placed on risk assessment and governance frameworks. You will explore how ISO- and NIST-based approaches can be combined to evaluate cybersecurity risk and how organizations can create a structured Information Security Management System, including the documentation needed to support security governance.

The course also examines how organizations can strengthen security awareness through role-based training, incident simulations, workflows, templates, and monitoring tools. These practical elements help connect cybersecurity governance with day-to-day organizational behavior.

You will then explore how Artificial Intelligence can be applied to cybersecurity. The course introduces the main disciplines of AI, the role of machine learning, and the difference between discriminative AI and generative AI in a security context.

You will also revisit the fundamental cybersecurity principles of confidentiality, integrity, and availability and learn how they relate to security objectives, gaps, and practical AI-supported solutions.

The course demonstrates how machine learning and AI can contribute to solving cybersecurity problems while emphasizing the importance of appropriate preparation and guardrails when introducing AI into security processes.

The learning experience includes content created by Starweaver and expertise from cloud and application security leader Sam Sehgal, whose professional background in the source material is connected with Dell.

Cybersecurity and AI will give you a practical foundation for connecting governance, risk, policy, compliance, and AI-enabled security into a more structured approach to modern cybersecurity.

What you'll learn:

• How to connect cybersecurity governance with business priorities
• How to translate security requirements into clear policies and accountability
• How to perform ISO/NIST-based risk assessments
• How to build and document an Information Security Management System (ISMS)
• How to use role-based training and incident simulations
• How to support governance through templates, workflows, and monitoring tools
• The foundations of Artificial Intelligence for cybersecurity
• The role of machine learning in security
• The difference between discriminative AI and generative AI
• How confidentiality, integrity, and availability guide cybersecurity objectives
• How AI can help address cybersecurity gaps and complex security problems
• How to apply appropriate AI guardrails in cybersecurity

Successful selling today requires much more than presenting a product and asking for the order. Modern sales professionals need to understand customers, build trust, ask better questions, communicate value clearly, and adapt to rapidly changing buyer behavior. Modern Sales Mastery will help you develop a practical and repeatable approach to selling that supports sustainable business growth.

You will learn the essential foundations of sales, including active listening, value propositions, objection handling, pipeline development, and customer relationship building. The course focuses on practical techniques that help you attract, engage, and convert customers more effectively.

A major part of the course is dedicated to the art of asking powerful sales questions. You will explore the psychology behind effective questioning, learn how different question types influence conversations, and develop techniques for qualifying prospects, navigating objections, and improving discovery conversations.

You will also discover why relationship-based selling is increasingly important in modern business. The course shows you how to define an ideal buyer persona, strengthen your professional positioning, build trust throughout the sales cycle, deliver stronger presentations, and generate referrals through authentic customer relationships.

The course addresses the reality of the new buyer. You will explore generational shifts, digital-first behavior, personalization, changing expectations, and data-driven approaches that can help you sell more effectively to informed and empowered customers.

Strong sales performance also depends on human skills. You will develop emotional intelligence, adaptability, listening, communication, and relationship-building capabilities that help you connect with prospects in global, virtual, and constantly changing environments.

You will also learn how to use Artificial Intelligence in sales to identify better leads, improve outreach, prepare customer conversations, and streamline sales activities. The course demonstrates how AI can support both individual sales professionals and sales leaders without replacing the importance of human judgment and trust.

Additional content focuses on channel sales and field sales. You will learn how to manage partner relationships, use local market insights, improve sales presentations, build referral networks, handle rejection, and apply consultative selling techniques to strengthen customer relationships.

The course also explores personal branding for sales success, including authentic positioning, storytelling, social media, thought leadership, networking, and communicating your unique value proposition to differentiate yourself in competitive markets.

For leaders, the course introduces principles for building a high-performance sales culture based on growth mindset, customer focus, accountability, motivation, and alignment with organizational values.

You will also strengthen your ability to use storytelling in sales, create urgency, adapt stories to different buyer personas, address objections through persuasive narratives, and make presentations more memorable and relevant.

Finally, the course shows you how to improve virtual sales meetings through professional preparation, nonverbal communication, clear agendas, AI note-taking, scheduling practices, and effective follow-up.

The learning experience includes insights from sales experts such as Ronnell Richards, Julia Ewert, Lorenzo Johnson, Meridith Powell, and Lisa Earle McLeod. The source materials connect selected instructors with organizations including Hilton, LinkedIn, Vodafone Hutchison, Mars Inc., Stockland, and Madecraft.

Modern Sales Mastery will help you build a practical sales system based on trust, customer understanding, communication, relationships, and modern technology so you can sell with greater confidence and consistency.

What you'll learn:

• Sales fundamentals for attracting, engaging, and converting customers
• How to use active listening and value propositions
• How to ask powerful sales questions
• How to qualify prospects and improve discovery conversations
• How to build stronger customer relationships and trust
• How to sell effectively to the modern digital-first buyer
• How to strengthen emotional intelligence and communication skills
• How to use AI tools in sales
• How to manage field sales and channel sales
• How to build a strong personal brand for sales success
• How to create a high-performance sales culture
• How to use storytelling to influence buying decisions
• How to improve virtual sales meetings and follow-up

Effective negotiation is one of the most valuable skills in business and professional life. Whether you are discussing a contract, resolving a conflict, managing stakeholders, negotiating compensation, or working with suppliers and partners, the ability to prepare strategically and communicate with confidence can significantly influence the outcome. Strategic Negotiation Skills will help you develop a practical and structured approach to negotiation while strengthening professional relationships.

You will learn the four major phases of the negotiation cycle and understand how to assess a situation, gather relevant information, negotiate an agreement, and evaluate the result afterwards. The course also highlights common negotiation pitfalls and practical ways to avoid them.

A major focus is placed on strategic preparation, trust, influence, and value creation. You will learn how to build negotiation plans, establish credible anchors, manage objections, use empathetic assertiveness, and search for agreements that create value for all parties involved.

The course also introduces the use of generative AI in negotiation. You will explore when AI can add value, how it can support preparation and execution, and how AI tools can be combined with human judgment and intuition.

Practical AI applications include creating a negotiation bot, using AI for planning and predictive modeling, and practicing negotiation scenarios through generative AI role-play. You will also explore concepts such as strategy, trust currency, rules of the game, and NegoEconomics.

An important part of successful negotiation is the ability to manage conflict and difficult conversations. The course introduces approaches for recognizing conflict challenges, applying empathy, managing high-pressure discussions, and creating more productive outcomes.

You will strengthen your ability to use emotional intelligence in negotiation, frame persuasive arguments, understand workplace dynamics, and communicate with clarity and influence when interests or opinions differ.

The course also prepares you for some of the most challenging professional conversations, including giving and receiving feedback, salary discussions, workplace changes, conflict resolution, and career progression conversations.

You will also learn how to approach job offers and salary negotiations with greater confidence. The course provides practical guidance for the stages before, during, and after a negotiation and demonstrates how to prepare both your mindset and your strategy.

Interactive examples and AI-powered role-play help you practice negotiation skills in realistic conversation scenarios and turn concepts into practical experience.

The learning experience includes insights from experts whose professional or academic backgrounds in the source materials are connected with organizations including McKinsey & Company, Duke University, Capital One, Copenhagen Business School, Forbes, The Ohio State University, and the American Negotiation Institute.

Strategic Negotiation Skills will help you negotiate more deliberately, manage difficult conversations with greater confidence, and combine strategic preparation, emotional intelligence, and modern AI tools to achieve stronger outcomes.

What you'll learn:

• The four phases of the negotiation cycle
• How to assess situations and prepare a negotiation strategy
• How to build trust and influence outcomes
• How to create value and structure mutually beneficial agreements
• How to use anchors and persuasive arguments
• How to manage objections and difficult conversations
• How to apply emotional intelligence in negotiation
• How to use generative AI for negotiation preparation and execution
• How to apply AI modeling and negotiation role-play
• How to combine human intuition with AI insights
• How to manage workplace conflict and high-pressure discussions
• How to approach salary and job offer negotiations
• How to handle feedback, career progression, and workplace change conversations

Design thinking is a practical framework for solving problems when the right path forward is not immediately clear. Design Thinking will help you develop a human-centered approach to innovation, understand real user needs, generate stronger ideas, and move from uncertainty toward practical solutions.

You will begin with the foundations of design thinking and human-centered problem solving. The course demonstrates why design thinking is not only for designers and how professionals across roles and industries can use it to approach challenges with greater creativity, structure, and confidence.

A major focus is placed on ideation and creative problem solving. You will learn how to prepare for ideation sessions, brainstorm effectively, generate a wider range of ideas, evaluate alternatives, prioritize opportunities, and translate selected ideas into actions connected with business goals.

The course also explores how to design new customer and user experiences. You will work with research, ideation, storytelling, strategy, and journey mapping to understand existing experiences and redesign them in ways that create greater value.

You will then learn how to use design thinking to move from an idea toward a viable product. The course covers user-centric product development, go-to-market strategy, prototyping, user testing, and onboarding, helping you align business objectives with real user needs.

Design thinking does not end when a product is launched. You will explore how to apply the same mindset after launch by gathering feedback, tracking key metrics, improving existing solutions, planning major releases, and aligning teams around continuous improvement.

The course also introduces the role of Artificial Intelligence in team creativity. You will discover how AI can support brainstorming, help teams break established thinking patterns, generate fresh directions, and quickly explore or prototype new ideas without requiring a technical background.

Practical examples help you connect design thinking with real situations. You will apply techniques such as journey mapping, idea prioritization, prototyping, user feedback, and collaborative ideation to transform abstract concepts into more actionable solutions.

The learning experience includes insights from professionals connected with LEGO, frog, Skillshare, and Unblocked Future, bringing together perspectives from innovation, experience design, creativity, and product development.

Design Thinking will give you a practical toolkit for understanding people, generating ideas, testing solutions, improving experiences, and using AI to strengthen creativity and innovation across teams.

What you'll learn:

• The foundations of design thinking and human-centered innovation
• How to identify and understand real user needs
• How to prepare and run effective ideation and brainstorming
• How to evaluate, prioritize, and develop creative ideas
• How to use research, storytelling, and journey mapping
• How to design and improve customer and user experiences
• How to create a user-centric go-to-market strategy
• How to use prototyping and user testing
• How to support effective user onboarding
• How to apply design thinking to post-launch improvement
• How to use feedback and key metrics to guide future development
• How to improve team creativity with AI
• How to use AI to break patterns, generate ideas, and support rapid prototyping

Innovation is no longer limited to product teams, R&D departments, or creative specialists. In a rapidly changing business environment, professionals across roles and industries need the ability to identify opportunities, generate ideas, solve problems creatively, experiment quickly, and turn concepts into practical results. Innovation Skills & AI will help you build these capabilities while showing you how Artificial Intelligence can accelerate and strengthen the innovation process.

You will begin by developing a practical understanding of innovation, creativity, ideation, and problem-solving. The course introduces a structured five-step innovation process that helps you diagnose challenges, dream up possibilities, prototype ideas, test solutions, and implement innovations in real professional situations.

A major focus is placed on strengthening your creative thinking skills. You will explore how the brain supports creativity and learn practical strategies for activating creative thinking, overcoming mental blocks, increasing inspiration, and recognizing breakthrough moments. The course also examines how generative AI can support collaborative creativity and help teams approach familiar problems from new perspectives.

You will then learn how to combine creativity with rapid problem-solving and fast execution. Practical frameworks show you how to define problems more effectively, create a culture of experimentation, gain support for new ideas, and move from discussion to action with greater speed and adaptability.

The course also demonstrates how generative AI can support the complete innovation cycle. You will learn how AI can help uncover opportunities through data mining, generate ideas using cross-industry inspiration and future scenarios, evaluate concepts through risk and feasibility analysis, and accelerate prototyping.

AI can also strengthen your personal creative capabilities. You will explore practical ways to use AI to overcome creative blocks, build creative confidence, generate fresh perspectives, and expand your ability to innovate in both professional and personal contexts.

The course goes beyond individual ideas and explores how AI is changing business models and value creation. You will examine how organizations can use AI to improve scalable efficiency, enhance value propositions, support customer value co-creation, redesign value delivery, rethink platform models, and respond to the emergence of AI as a new type of customer.

Real-world examples and practical frameworks will help you connect creative thinking with business impact. You will learn how to move from an initial opportunity to an idea, from an idea to a prototype, and from experimentation to implementation.

The learning experience includes expertise from Leo Chan, whose professional background in the source material is connected with LEGO, as well as neuroscientist Indre Viskontas from the University of San Francisco, creativity expert Dave Birss, innovation strategist Alison McCauley, and futurist and business strategist Ross Dawson. 

Innovation Skills & AI will give you a practical toolkit for developing stronger ideas, solving problems faster, using AI creatively, and designing new opportunities for business growth and innovation.

What you'll learn:

• How to apply a practical five-step innovation process
• How to strengthen creativity, ideation, and problem-solving skills
• How to diagnose challenges and identify innovation opportunities
• How to prototype, test, and implement new ideas
• How to activate and improve creative thinking
• How to overcome creative blocks and limiting patterns
• How to use generative AI for collaborative creativity
• How to solve problems through rapid experimentation and fast execution
• How to gain buy-in for new ideas
• How to use AI for data mining and innovation opportunity discovery
• How to generate ideas using cross-industry trends and future scenarios
• How to evaluate ideas through risk assessment and feasibility analysis
• How to use AI to accelerate prototyping
• How to rethink business models and value creation in the AI era

Agility is no longer only a method for software development. In fast-changing organizations, leaders need to create teams that can respond to customer feedback, adapt to changing priorities, collaborate across functions, learn continuously, and deliver value faster. Agile Leadership in Action will help you understand the foundations of agile and turn them into practical leadership and organizational capabilities.

You will begin with the fundamental values and principles of the Agile Manifesto and learn what it means to develop an agile mindset. You will explore user stories, cross-functional teams, common agile roles, and popular frameworks while learning how agile teams respond constructively to change.

The course then moves from agile principles to professional agile leadership. You will learn how leaders can empower teams, strengthen psychological safety, encourage continuous learning, and create an environment in which people can make decisions and adapt without losing alignment with organizational objectives.

You will explore practical approaches to agile planning, management, coaching, and facilitation. These skills will help you support high-performing teams while creating stronger connections between day-to-day delivery and broader strategic goals.

A major part of the course focuses on agile transformation at the organizational level. You will examine why many organizations struggle to sustain agile practices and learn practical techniques for engaging internal and external customers, prioritizing customer requirements, developing an agile portfolio, and transforming existing structures.

You will also learn how to address organizational barriers such as traditional IT silos and how metrics can help monitor transformation progress. The course introduces technical DevOps resources and scaling approaches that support agile practices beyond a single team.

You will explore frameworks including Scrum@Scale, Scaled Agile Framework, and Large-Scale Scrum, gaining a better understanding of how organizations can expand agile principles across larger and more complex environments.

The course also addresses one of the most important changes affecting agile teams today: Artificial Intelligence. Modern product development increasingly combines distributed teams with AI tools such as Microsoft Copilot, changing how work is created, coordinated, and delivered.

You will examine which agile principles remain essential in the age of AI and which new challenges leaders and teams need to address. Topics include AI alignment, fair use, changing knowledge and skill requirements, and the evolving relationship between people and intelligent tools.

Interactive AI-powered Role Play exercises included in selected learning content allow you to practice agile conversations and leadership situations through realistic simulations, helping you move from concepts to practical application.

The course brings together expertise from Doug Rose, Dave West, and Kelley O’Connell. Dave West’s professional background in the source material includes IBM/Rational, Forrester Research, Tasktop, Ivar Jacobson, and Scrum.org. Selected agile foundations content is also part of a Professional Certificate from Atlassian, while Doug Rose’s background is connected with institutions including the University of Chicago, Syracuse University, Emory University, and the University of Virginia.

Agile Leadership in Action will help you move beyond simply applying agile techniques. You will develop the leadership mindset needed to empower teams, guide organizational transformation, scale agile practices, and help people remain effective as AI changes the way modern teams work.

What you'll learn:

• The core values and principles of agile
• How to develop and apply an agile mindset
• How to use user stories and cross-functional collaboration
• The most common agile roles and frameworks
• How to build high-performing and empowered agile teams
• How to strengthen psychological safety and continuous learning
• How to use agile planning, coaching, and facilitation
• How to lead an agile organizational transformation
• How to engage and prioritize internal and external customer needs
• How to develop an agile portfolio
• How to address organizational and IT silos
• How to use metrics to monitor agile transformation
• How to work with Scrum@Scale, Scaled Agile Framework, and Large-Scale Scrum
• How AI is changing agile product development
• How to address AI alignment, fair use, and changing skill requirements