Entrepreneurs
Use AI to research opportunities, develop ideas, improve marketing, support customers, analyze information and build more efficient business processes.
You do not need a large technology team to begin using AI intelligently.
LaunchPad AI Learning
Learn AI. Use it well. Build with it.
Practical AI courses for entrepreneurs, professionals, freelancers, employees and organizations—from better prompting and everyday productivity to automation, AI assistants and AI-enabled systems.
These are courses for building your own AI capability. Want LaunchPad to build an AI solution for your business instead? See AI & Automation.
AI is becoming a work skill
Knowing that AI exists is no longer enough.
The real advantage comes from understanding how to use it deliberately.
- How do you ask better questions?
- How do you get more reliable output?
- How can AI help you research, analyze, write, plan, sell, organize or make decisions?
- Which repetitive tasks can be automated?
- When should AI assist a person, and when should a person remain completely in control?
And eventually: How do you turn several AI capabilities into a system that actually supports the way you work?
LaunchPad's courses are built around those questions.
From prompting to building
Start where you are. Progress as far as you need.
Our learning pathway is designed to move progressively from everyday AI use to increasingly sophisticated applications.
You do not need to become a programmer. You need to learn how to make AI useful.
Level 01 · Understand
AI Fundamentals
Understand what AI can and cannot do.
Build a practical foundation in modern generative AI and learn how to use it responsibly and effectively in everyday work.
Topics may include
- Understanding generative AI
- How large language models work in practical terms
- Strengths and limitations of AI
- Choosing the right AI tool for the task
- Working safely with business information
- Hallucinations and verification
- Human oversight
- Responsible AI use
Best for Beginners, employees, professionals and business owners who want a practical introduction without unnecessary technical jargon.
Level 02 · Prompt
Prompt Engineering
Learn how to communicate with AI more effectively.
Good prompting is not about memorizing magic phrases. It is about giving AI enough context, structure and direction to produce useful work.
Topics may include
- Clear instructions and context
- Roles and perspectives
- Constraints and output formats
- Providing examples
- Breaking complex tasks into stages
- Iterative prompting
- Research and analysis prompts
- Writing and communication
- Problem solving
- Prompt frameworks
- Evaluating and improving AI output
Spend less time fighting the tool and more time getting useful work from it.
Level 03 · Apply
AI for Everyday Productivity
Turn AI into a practical work partner.
This level focuses on applying AI to recurring professional and business activities.
Applications may include
- Writing and editing
- Email and communication
- Research
- Meeting preparation
- Summarization
- Brainstorming
- Planning
- Presentations
- Data interpretation
- Document analysis
- Project organization
- Standard operating procedures
- Customer communication
- Learning and skill development
Instead of teaching isolated tricks, we help learners develop repeatable ways to integrate AI into their actual responsibilities.
Level 04 · Improve
AI for Business & Professional Work
Apply AI to real functions inside an organization.
At this stage, learners begin looking beyond personal productivity and into functional business applications.
Marketing
Research, strategy, content development, campaign thinking, customer insights and performance analysis.
Sales
Lead research, qualification support, proposal preparation, follow-up and sales knowledge.
Customer Service
Knowledge retrieval, response preparation, inquiry classification and service workflows.
Operations
Documentation, process analysis, reporting and repetitive administrative work.
Human Resources
Internal communication, knowledge management, documentation, training support and appropriate administrative applications.
Management
Research, scenario analysis, decision support, reporting and information synthesis.
Freelance & Professional Services
Research, proposals, client communication, delivery workflows, ideation and personal productivity.
The emphasis remains on practical application rather than AI for AI's sake.
Beyond chat
AI becomes much more powerful when it becomes part of a workflow.
Most people begin by opening an AI application, typing a request and receiving an answer.
That is useful. But it is only the beginning.
More advanced courses teach learners how to think in terms of workflows.
Instead of asking: “What can AI write for me?”
we begin asking: “What happens repeatedly in this process, and where can AI help?”
That shift opens the door to much more meaningful applications.
Level 05 · Automate
AI Workflows & Automation
Move from individual prompts to connected processes.
Learn how AI can interact with forms, documents, CRM systems, spreadsheets, communication tools and other business applications.
Topics may include
- Mapping workflows
- Finding automation opportunities
- Trigger-action logic
- AI inside automated processes
- Human approval points
- Lead workflows
- Information routing
- Document workflows
- Automated reporting
- CRM automation
- No-code and low-code tools
- Error handling
- Designing reliable processes
The goal is not to automate everything. The goal is to identify where automation genuinely saves time, reduces errors or improves responsiveness.
Level 06 · Build
Building AI Assistants & Agents
Create AI that performs a defined role.
Learners progress from asking one-off questions to designing AI assistants capable of working within a specific context.
Applications can include
- Research assistants
- Marketing assistants
- Sales support assistants
- Internal knowledge assistants
- Customer inquiry assistants
- Content assistants
- Operations assistants
- Reporting assistants
- Specialized professional assistants
Topics may include
- System instructions
- Context and knowledge
- Guardrails
- Tool use
- Retrieval and knowledge sources
- Multi-step tasks
- Human escalation
- Testing and evaluation
- Reliability
Give AI a clear job, useful information and appropriate boundaries.
Level 07 · Build
Building AI-Powered Systems
Move from using AI tools to designing solutions.
Our more advanced learning introduces the thinking behind complete AI-enabled systems.
- InputForms, messages, documents, data
- IntelligenceAI models interpret and draft
- LogicRules, routing and conditions
- ActionSystems update, messages go out
- Human reviewPeople approve what matters
- OutputA result the business can use
Topics may include
- AI-assisted applications
- Business workflows
- Knowledge systems
- CRM-connected AI
- Automated customer journeys
- Internal productivity systems
- APIs and integrations
- Databases
- AI models
- Interface design
- System architecture
- Security and permissions
- Human-in-the-loop design
Programming knowledge may be useful for some advanced applications, but the emphasis begins with systems thinking rather than code.
What should this system accomplish, and what combination of people, AI, data and technology should make it happen?
Who the courses are for
Different work. The same question: where can AI make you more capable?
Professionals
Learn how to incorporate AI into research, communication, analysis, planning, documentation and other knowledge-intensive work while maintaining professional judgment.
AI should increase your capabilities, not replace your expertise.
Freelancers
Use AI to work more efficiently across research, proposals, client work, content, administration and project delivery.
The objective is not simply doing more work. It is increasing the value you can create with your time.
Employees
Learn practical AI skills that can improve everyday productivity and help you adapt to changing workplace expectations.
Employees who understand how to work effectively with AI can become valuable drivers of improvement inside their organizations.
Teams & Organizations
LaunchPad can conduct training programs designed around the company's actual work environment.
We do not teach AI as a collection of tricks. We teach people how to think with it.
AI tools will continue to change.Interfaces will change.Models will improve.Features will appear and disappear.
A course built entirely around where to click inside one application can become obsolete very quickly.
LaunchPad therefore emphasizes transferable skills:
- How to frame a problem
- How to provide useful context
- How to evaluate an AI response
- How to verify information
- How to break complex work into steps
- How to decide what should and should not be automated
- How to design a workflow
- How to keep humans appropriately involved
These principles remain useful even as the technology changes.
Learn by doing
AI makes more sense when you use it on real work.
Our courses emphasize practical exercises rather than long theoretical lectures.
Depending on the program, learners may work through activities such as:
- Improving a real prompt
- Researching a business question
- Creating a structured report
- Analyzing information
- Building a reusable prompt
- Mapping a repetitive workflow
- Designing an automation
- Creating an AI assistant
- Connecting tools
- Designing an AI-enabled business process
Whenever appropriate, learners are encouraged to work with scenarios related to their own role or business.
The objective is for participants to leave knowing not only what AI can do, but what they can do with AI.
For organizations
Build AI capability across your organization.
Companies increasingly face a challenge beyond buying AI software:
How do we make sure our people actually know how to use it well?
LaunchPad can develop structured AI learning programs for organizations—from introductory AI literacy to functional workshops and more advanced automation and system-building programs.
Programs can be designed for
- Executives
- Managers
- Marketing teams
- Sales teams
- Operations teams
- Administrative staff
- Customer-service teams
- Professional staff
- Mixed employee groups
Training can also be adapted around specific organizational objectives.
Program examples
Examples of programs LaunchPad can develop. Each one is scoped around your organization's roles, processes and goals. The bar shows where it typically sits on the learning path.
AI Productivity Program
Help employees use AI appropriately in everyday knowledge work.
AI for Managers
Help leaders understand AI capabilities, limitations, opportunities and governance.
AI for Marketing & Sales
Apply AI to customer research, content, lead processes, communication and analysis.
AI Workflow Workshop
Identify repetitive work and design opportunities for automation.
AI Systems Bootcamp
Move advanced learners from prompts and workflows toward building AI-enabled systems.
Custom Corporate Program
Develop a curriculum around the organization's roles, processes and AI adoption goals.
Practical. Responsible. Human-centered.
Effective AI adoption also means knowing when not to use it.
LaunchPad does not teach that every task should be handed to AI.
We emphasize responsible practices around:
- Accuracy
- Verification
- Confidentiality
- Sensitive information
- Human accountability
- Professional judgment
- Intellectual property
- Appropriate review
- Organizational policies
AI should make people more capable. It should not make them less thoughtful.
Learn AI for the work you actually do.
The objective is not simply to become better at using ChatGPT or another AI tool.
It is to become better at recognizing where AI can help you think, create, decide, communicate, automate and build.
And eventually, to move from asking AI to perform individual tasks to designing better ways of working around it.