Fundamentals of AI Course Catalog
Phase One: AI Foundations
and Mindset
Module: Fundamentals of AI
This training is designed specifically for individuals beginning their journey with AI.
Participants will discover the capabilities and limitations of AI, while gaining valuable insights on how to safely and effectively integrate it into the workplace. Through proven examples and clear guidance, attendees will leave this session feeling confident to integrate AI.
Key Objectives:
Develop a mindset to embrace AI as a partner in work. Explore the capabilities and limitations of AI. Gain valuable insights on how to safely and effectively integrate AI into daily operations. Build confidence in integrating AI into workflows.
Method of Delivery:
Training: 60 minutes, in-person
AI Foundations and Mindset
Fundamentals of AI
Shared AI Language and AI Integration
Fundamentals of Prompt Engineering
Safe and Compliant AI Use
Mitigating Emerging Cybersecurity Risks
Leading Through Scenarios: AI Policy Stress Test
Skill Development and Integration
Sector-Specific Applications of AI
Exploring Zoom AI Companion
Integrating Notebook LM
Utilizing
Phase One: AI Foundations and Mindset
Module: Shared AI Language and AI Integrations
This training combines onboarding design with vocabulary alignment. Participants will utilize an AI glossary card and the Gradients protocol to surface different views on acceptable use. Then they design a 30/60/90-day integration pathway and a corresponding micro-module. Participants leave with an integration checklist, glossary card and a vocabulary-to-boundaries map they can replicate in their organizations.
Key Objectives:
1. Use a glossary of AI terms to build shared language.
2. Apply the Gradients protocol to clarify boundaries of acceptable use.
3. Design a 30/60/90 day onboarding pathway aligned with mission and vision.
4. Create a short PD micro-module for onboarding. Method of Delivery: Training: 90 minutes, virtual or in-person
Phase One: AI Foundations
and Mindset
Module: Fundamentals of Prompt Engineering
This interactive training introduces attendees to the fundamentals of prompt engineering using LLM Chatbot tools like ChatGPT, Co-Pilot or Gemini. Participants will learn how to craft clear, purposeful prompts to improve the accuracy and efficiency of AI responses to enhance productivity with daily tasks.
Key Objectives:
Understand how the basic principles of prompt engineering can be utilized to enhance AI usage. Improve AI interaction efficiency. Apply prompt engineering to daily tasks to increase work productivity.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Two: Safe and Compliant AI
Use
Module: Mitigating Emerging Cybersecurity Risks
This training explores AI cybersecurity risks. Participants will explore topics such as AI use, prompt injection, third-party model wrappers, data poisoning, automated reconnaissance, plugin vulnerabilities and governance failures. The training examines how each risk works, why it matters and what damage it can cause if left unresolved.
Key Objectives:
Identify and explore the most common AI cybersecurity risks and how they operate. Assess potential impacts these risks could have on business operations, data integrity and compliance if unaddressed.
Explore risk mitigation strategies and governance practices to reduce vulnerability and strengthen AI security posture.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Two: Safe and Compliant AI Use
Module: Leading Through Scenarios: AI Policy
Stress Test
In this training, participants will role-play AI-related incidents from deepfakes to workplace challenges to stress-test the organization's systems. Groups will map responses, identify weaknesses in safeguarding and communication and cocreate solutions. Participants leave with an AI Incident Response Playcard an escalation protocol template to strengthen readiness and trust in any organizational context.
Key Objectives:
Identify common AI-related crises facing organizations. Evaluate current policy and communication gaps through stress testing. Develop an AI Incident Response Playcard for their organization.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Three: Skill Development and Integration
Module: Sector-Specific Applications of AI
Participants will explore how AI applies to real organizational contexts, from workflow management to communications and data analysis, while recognizing where human expertise remains essential. Through demonstrations, a mini-case study and group brainstorming, participants will identify practical, low-risk starting points for AI adoption in their organization.
Key Objectives:
Identify where AI adds value and where human expertise remains critical. Practice AI tools for integrated organizational tasks. Identify three to five actionable AI use cases aligned with organizational priorities.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Three: Skill Development
and Integration
Module: Exploring Zoom AI Companion
This training introduces participants to Zoom AI Companion’s task management and meeting productivity tools. Attendees will learn how to surface, create and complete tasks automatically, generate agendas, receive real-time and post-meeting summaries and keep projects on track with notifications, all while managing time more effectively.
Key Objectives:
Discover Zoom's integrated AI functionalities.
Improve meeting efficiency and follow-up.
Leverage AI for better collaboration in virtual environments through integrated tools.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Three: Skill Development and Integration
Module: Integrating Notebook LM
Participants will learn how to use Notebook LM to transform your personal documents into powerful research and content creation tools. This training covers documentspecific retrieval, insight extraction and organization. Learn how to leverage the built-in podcasting and video features in Notebook LM to enhance storytelling, presentations and multimedia projects. Whether you are writing, researching or creating, Notebook LM helps streamline your workflow with focused AI support.
Key Objectives:
Learn how to use Notebook LM for focused exploration. Understand Notebook LM’s document-specific retrieval capabilities. Enhance research methodology with focused AI. Develop processes to upload documents for synthesis and produce accurate summaries. Explore Notebook LM’s ability to draft documents.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Three: Skill Development
and Integration
Module: Utilizing Gemini AI
This training introduces participants to Google’s Gemini AI and its practical uses across roles and industries. Attendees will learn how to apply Gemini to everyday tasks such as drafting content, summarizing information, generating ideas and organizing workflows, while understanding its strengths, limitations and safe-use practices.
Key Objectives:
Apply Gemini AI for administrative tasks. Develop effective prompts for productivity. Optimize office workflows using AI through identifying opportunites for content creation, learning and problem solving. Explore ways to apply Gemini to generate critical insights and clear outputs. Gain understanding of limitations, constraints and hallucinations.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Four: Foundation for Sustainability
Module: Advanced AI - Gems
This training will explore the use of "Gems" , an innovative AI tool that seamlessly integrates personal documentation with the advanced capabilities of Google’s Gemini AI. Participants will learn how Gems can streamline research, enhance content creation and support decision-making by quickly synthesizing information from both internal documents and expansive online resources. Through guided demonstrations and hands-on practice, attendees will discover practical strategies for using Gems to organize knowledge, generate high-quality outputs and accelerate workflows in their daily practice.
Key Objectives:
Understand the dual functionality of Gems. Enhance content creation with combined documentation and AI. Streamline information synthesis for projects and reports.
Method of Delivery:
Training: 60 minutes, virtual or in-person
Phase Four: Foundation for Sustainability
Module: Building Custom GPT Agents for Business Workflow
This training educates participants on how to design, configure and deploy Custom GPTs to support specific business tasks, making a Custom GPT is a tailored version of GPT-4 or GPT-5 with special instructions, files or APIs for a specific purpose. Participants will learn how to define requirements, build effective prompt instructions and connect GPTs to relevant tools while ensuring accuracy, compliance and usability. This is ideal for business and technical professionals who want to deploy AI solutions quickly.
Key Objectives:
Define and develop chat agents with a clear purpose, crafting effective instructions, connecting built-in tools and APIs. Manage data privacy and check for privacy and reliability. Compare OpenAI’s hosted approach to in-house deployments, with clear guidance on which platform is the right fit and when. Method of Delivery: Training: 60 minutes, virtual or in-person
Phase Four: Foundation for Sustainability
Module: A Continuous Framework for Sustainable AI Growth
This training introduces the GUIDE Framework—Gather, Understand, Implement, Develop, Evaluate—which helps organizations pilot, evaluate and scale AI use long-term. AI evolves faster than organizational policies, so it is critical to gain strategies to create a living review cycle. Participants will apply the cycle to real-world case studies and develop an annual AI review calendar for their own organization. They leave with the cycle diagram and a review template ready to implement.
Key Objectives:
Develop and apply a living review cycle to case studies involving AI in organizations. Explore the GUIDE Framework as a method for AI integration. Apply structured reflection to evolving practices and risks.
Method of Delivery:
Training: 90 minutes, virtual or in-person
Sample Schedules and Training Fees
Training sessions are available in individual, half-day and full-day packages.
Booking a training also includes a pre-consultation with the Pine Crest neXt team.
Please note that organizations are responsible for their own technology and software.
Training Fees
Single training for up to 30 participants, onsite
$1,200 + travel expenses, billed to client if applicable
Half-Day Training: includes three workshops, $3,500
Full Day Training: includes five workshops, $5,500
SAMPLE: Practical AI Tools
Professionals: Half-Day Schedule
8:00 - 8:30 a.m.
Welcome & Introduction
Overview of the day's agenda
Introduction to facilitators
Setting learning objectives 8:30 - 9:30 a.m. Workshop 1: Fundamentals of AI
AI capabilities & limitations
Safety & ethical considerations
Integration strategies
SAMPLE: Practical AI Tools
Professionals: Half-Day Schedule
10:45 - 11:45 a.m.
Workshop 3: Integrating Notebook LM
Document-specific AI retrieval
Insight extraction & organization
Multimedia creation features
11:45 AM - 12:00 p.m.
SAMPLE: Practical AI Tools
Professionals: Full Day Schedule
SAMPLE: Practical AI Tools
Professionals: Full Day Schedule
10:45 - 11:45 a.m.
Workshop 3: Integrating Notebook LM
Document-specific AI retrieval
Insight extraction & organization
Multimedia creation features
11:45 AM - 12:45 p.m
Lunch Break
Catered lunch provided
Extended networking opportunity
12:45 - 1:45 p.m.
Workshop 4: EZoom AI Companion
Task management automation
Meeting productivity tools
Agenda generation & summaries
1:45 - 2:00 p.m.
Afternoon Break
Brief reflection period
SAMPLE: Practical AI Tools
Professionals: Full Day Schedule
2:00 - 3:00 p.m.
Workshop 5: Advanced AI - Gems
Integrating with Google's Gemini AI
Synthesizing resources
Practical workflow acceleration
3:00 - 4:00 p.m.
Closing Session
Q&A
Application planning
Resource sharing to help participants implement their new AI skills immediately
