Course Includes:
- Price: FREE
- Enrolled: 635 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 11:34 AM (updated every 10 min)
Course Folder
What You'll Learn
- Explain the differences between traditional AI
- generative AI
- and agentic AI in clear business language.,Develop an executive leadership charter for guiding responsible AI adoption.,Identify and prioritize high-value AI opportunities across revenue
- efficiency
- innovation
- and risk.,Design effective human-and-AI workflows with clear responsibilities
- escalation points
- and review processes.,Define appropriate roles
- permissions
- boundaries
- and controls for AI agents.,Build operating models that clarify AI decision rights
- governance forums
- funding
- and accountability.,Evaluate organizational readiness across data
- technology
- security
- talent
- and business processes.,Lead employees through AI-driven change while addressing resistance
- uncertainty
- and trust concerns.,Establish responsible AI controls covering fairness
- privacy
- security
- oversight
- monitoring
- and incident response.,Create practical metrics
- scorecards
- and business cases for measuring AI value and return on investment.,Communicate AI strategy effectively to boards
- executives
- employees
- customers
- and business partners.,Produce a 12-month AI leadership roadmap and a portfolio of practical leadership tools for agentic work.
Requirements
- No programming
- data science
- or machine-learning experience is required.,No previous experience with AI agents or AI development platforms is necessary.,A basic understanding of business operations
- management
- or organizational decision-making is helpful.,An interest in leadership
- business transformation
- workplace innovation
- or AI strategy is recommended.,Access to a computer or tablet with an internet connection is required.,Access to a generative AI tool is helpful for completing selected activities
- but no specific platform is required.,Learners should be willing to evaluate current workflows
- leadership practices
- risks
- and organizational opportunities.,The course is designed to make strategic and technical AI concepts accessible to non-technical leaders.
Description
This course contains the use of artificial intelligence.
Agentic AI is changing more than technology—it is changing how leaders make decisions, design work, manage risk, and build trust. Human + Agentic AI: New Leadership Skills for 2026 is a practical, executive-focused course designed to help leaders confidently guide teams through this next era of human-and-machine collaboration.
Across 12 weeks, you will develop the strategic, operational, and people-centered capabilities needed to lead in an agentic AI workplace. You will learn how traditional AI, generative AI, and AI agents differ, where they create value, and how to evaluate their limits, risks, and business implications without needing a technical background.
The course begins with the leadership context for AI adoption. You will define a clear AI leadership mandate, strengthen executive sponsorship, and connect emerging technology trends to business priorities. You will then build practical AI literacy so you can assess vendor claims, ask better questions, select appropriate models and platforms, and make informed investment decisions.
You will explore how to identify high-value opportunities across revenue growth, efficiency, innovation, customer experience, and risk reduction. Using structured frameworks, you will create an AI value portfolio, prioritize use cases, design meaningful pilots, and establish funding and scale decisions that leaders can clearly defend.
A major focus of the course is human + AI workflow redesign. You will learn how to map work before automating it, determine where human judgment must remain, define escalation points, and create reusable playbooks for effective collaboration between employees and AI agents. You will also examine how roles, responsibilities, and management practices must evolve as AI systems take on more complex tasks.
The course provides a strong foundation in responsible AI, governance, privacy, security, fairness, human oversight, monitoring, auditability, and incident response. You will learn how to build practical guardrails that support innovation without sacrificing accountability or stakeholder trust.
You will also develop essential change leadership skills for AI transformation. This includes addressing resistance, reducing fear, enabling managers, designing practical training, building communities of practice, and creating communication strategies that increase confidence and adoption.
Later modules focus on AI metrics, return on investment, total cost of ownership, executive dashboards, agent permissions, autonomous workflow controls, exception handling, and scaling agentic AI across functions. You will practice communicating AI strategy to boards, executives, employees, customers, and partners.
By the end of the course, you will complete a portfolio of leadership artifacts, including an AI leadership charter, readiness heatmap, workflow map, governance plan, adoption strategy, ROI scorecard, stakeholder narrative, and 12-month roadmap.
This course will help you move beyond AI experimentation and become a confident, responsible, and future-ready leader capable of orchestrating high-performing human-and-AI teams in 2026 and beyond.
Each week combines executive concepts with applied workshops, diagnostics, templates, and decision tools. Rather than focusing on coding, the course emphasizes the leadership choices that determine whether AI initiatives earn trust, deliver measurable value, and scale responsibly. You will leave with practical language for executive conversations, repeatable frameworks for organizational decisions, and a personalized leadership system you can immediately apply within your team, function, or enterprise.
Who this course is for:
- Executives and senior leaders responsible for AI strategy
- transformation
- innovation
- or organizational performance.,Business leaders preparing their organizations for AI agents and increasingly autonomous workflows.,Directors
- department heads
- and functional leaders managing teams that will work alongside AI systems.,Managers who need to redesign roles
- workflows
- decision processes
- and accountability for human-and-AI collaboration.,Transformation
- change-management
- and organizational-development professionals supporting AI adoption.,Strategy
- operations
- HR
- finance
- risk
- compliance
- technology
- and product leaders involved in AI initiatives.,Consultants and advisors helping organizations develop responsible and scalable AI programs.,Entrepreneurs and business owners seeking to introduce agentic AI without losing human judgment
- trust
- or control.,Non-technical professionals who want a practical leadership framework rather than a coding-focused AI course.,Emerging leaders who want to build the skills needed to lead human-and-machine teams in 2026 and beyond.
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