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Foundations
Safe and Responsible AI Use
Designing a Living AI Policy (Mission Alignment)
Choosing AI Tools: Evaluation, Vetting and Procurement
Data
Responsible AI Adoption
Data Security and Responsible AI Adoption


Cultivating Critical AI Literacy in the Classroom
Conceptual Introduction to AI for our Youngest Learners
Using AI in Math Classrooms
Flint K-12 in Middle and Upper School
Differentiating Instruction with AI
AI as your Copilot for Design Projects
AI in Action: Easy Maker Space Activities for Busy Teachers
From Curiosity to Conservation, Leveraging AI to Protect Ecosystems
Wired Ideas: Using AI to Spark Electronic Projects
Building Internal Capacity
App Making for Non-Coders
Building Internal AI Helpers
Building Knowledge Systems and Internal Assistants
Operations
AI Deployment and Governance
Leading Through Scenarios: AI Policy Stress Test


Participants learn how to integrate Artificial Intelligence (AI) into today's classrooms. Moving beyond simple automation, the course focuses on reshaping instruction, assessment and student skills required for an AI-driven future.
Key Objectives:
Integrate AI into classroom instruction and assessment. Understand the necessary student skills for an AI-driven future. Distinguish between good and bad AI outputs using live examples. Identify areas where schools are currently using AI.


Participants examine the responsibilities that come with AI adoption in schools. Through practical examples and school-based scenarios, this course introduces privacy, cybersecurity, acceptable use and risk management practices that help schools innovate while protecting students, staff and institutional trust.
Key Objectives: Understand privacy, security and ethical considerations when using AI. Explore responsible data handling and acceptable use practices. Recognize common risks associated with AI adoption in schools. Develop habits that balance innovation with the protection of people and information.


Participants learn how to move beyond static policy documents and build practical AI guidance that evolves alongside technology and school needs. Through discussion and real-world scenarios, teams define expectations, clarify responsibilities and establish structures for evaluating and governing AI use.
Key Objectives:
Translate AI principles into practical school policies. Establish clear expectations and responsibilities for staff. Develop processes for evaluating emerging AI tools. Practice responding to realistic scenarios to strengthen policy implementation.


Participants develop a practical framework for selecting AI tools before they are used in classrooms or workflows. This course focuses on educational value, usability, privacy, security, cost and implementation readiness to support thoughtful and sustainable purchasing decisions.
Key Objectives: Evaluate AI tools using educational, operational and technical criteria. Examine vendor claims, privacy practices and implementation readiness. Build repeatable vetting and procurement processes. Design pilot plans and define success measures before adoption.


Virtual or In-Person Training | 60 Minutes
Participants explore how information moves through AI-enabled systems and learn practical strategies to reduce risk while maintaining innovation. The course introduces foundational concepts for protecting student, employee and institutional data in an increasingly AI-supported environment.
Key Objectives: Understand how data moves through AI systems and connected workflows. Identify risks related to privacy, security and shadow AI practices. Apply foundational practices for protecting school information. Develop habits that support responsible and sustainable AI adoption.


Participants learn how to use Gemini with daily school workflows to save time and reduce repetitive tasks. Through role-based examples for teachers, human resources (HR), finance, admissions and leadership, participants practice drafting, summarizing, organizing information and improving communication while maintaining professional judgment.
Key Objectives: Use Gemini to save time and reduce repetitive tasks in school workflows. Practice drafting, summarizing and organizing information using Gemini. Apply Gemini to improve communication while maintaining professional judgment. Explore role-based examples for teachers, HR, finance, admissions and leadership.


Participants move beyond basic prompting to learn how context, constraints, audience and iteration shape AI outputs. This course introduces a more intentional approach to working with AI by helping participants refine requests, improve quality and understand why strong outputs depend as much on the user as the tool.
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. Refine requests using context, constraints, audience and iteration to improve output quality.


This course develops the critical thinking skills needed to use AI responsibly. Participants learn how to evaluate outputs, recognize limitations, identify hallucinations and bias and apply practical verification strategies. The emphasis is on building judgment so staff can decide when AI helps and when human expertise matters most.
Key Objectives:
Develop critical thinking skills for responsible AI use. Evaluate AI outputs, recognizing limitations, hallucinations and bias. Apply practical verification strategies to AI content. Build judgment for deciding when AI is a helpful tool versus when human expertise is required.


Virtual or In-Person Training | 60 Minutes
This course introduces NotebookLM as a tool for working with documents, research, policies, notes and institutional knowledge. Participants learn how to organize information, ask stronger questions, synthesize ideas across sources and use AI to support thinking rather than replace it.
Key Objectives:
Utilize NotebookLM for organizing documents, research, policies and institutional knowledge. Formulate stronger questions for knowledge retrieval. Synthesize ideas and information across multiple sources. Employ AI tools to support thinking and knowledge work.


Virtual or In-Person Training | 60 Minutes
This course introduces the practical side of protecting information in an AI-enabled workplace. Participants learn how data moves through AI systems and develop habits for reducing risk while maintaining innovation.
Key Objectives:
Understand how data moves through AI systems. Develop practical habits for reducing risk related to student and employee data.
Implement data classification, access controls and retention policies.
Protect against risks like prompt injection and Shadow AI.


Participants learn how to make practical, informed decisions when selecting and adopting AI tools in school environments. Rather than chasing features or popularity, this course helps participants evaluate whether a tool solves a real problem, fits existing workflows, and meets expectations for privacy, security, usability and long-term sustainability. Through examples and hands-on evaluation activities, participants build a repeatable process for deciding what deserves adoption and what does not.
Key Objectives:
Develop a practical framework for evaluating AI tools before adoption. Assess educational value, usability, privacy, security and implementation readiness. Analyze vendor claims and identify questions to ask before approving a tool. Determine when a tool should be piloted, scaled, revised or rejected. Build decision-making habits that prioritize outcomes over novelty.


Participants learn how to redesign existing work rather than simply adding AI on top of it. Using real school scenarios, participants map workflows, identify areas where AI can assist and create processes that balance efficiency, oversight and human decision-making.
Key Objectives:
Redesign existing work processes by integrating AI effectively. Map current school workflows using real-world scenarios. Identify specific areas where AI can assist. Create processes that balance efficiency, oversight and human decision-making.


Participants learn when workflows should remain human-led, when robotic process automation (RPA) should be used and when AI should support or automate portions of work.
Key Objectives: Map existing workflows to understand process. Determine when workflows should remain human-led. Identify opportunities for using RPA. Decide when AI should support or automate portions of work, including setting human checkpoints and approval layers.


Participants learn how to move beyond using individual AI tools in isolation and begin connecting them into cohesive, repeatable systems. Through practical school-based examples, participants explore how to design an AI workflow stack that supports their role, reduces friction and creates sustainable processes that grow with their needs.
Key Objectives:
Identify the difference between using standalone AI tools and building connected workflow systems. Map current tools and processes to discover integration opportunities. Design a personal or team AI workflow stack aligned to rolespecific needs. Evaluate which tools, automations and checkpoints belong at each stage of a workflow. Build repeatable systems that balance efficiency, oversight and human decision-making.


Participants learn how to build students' ability to think critically about AI not just use it. Through classroom-ready strategies and discussions, this course helps educators guide students in evaluating AI outputs, understanding how AI systems work and developing the judgment to use AI responsibly and ethically in academic and everyday contexts.
Key Objectives:
Define AI literacy and explain why it is essential for today's learners. Design classroom experiences that build students' ability to evaluate and question AI outputs. Introduce concepts of bias, hallucination and limitations in ageappropriate ways. Foster student habits of verification, reflection and responsible AI use. Connect AI literacy to broader critical thinking and digital citizenship frameworks.


Participants explore how to introduce foundational AI concepts to early learners in ways that are engaging, age-appropriate and rooted in curiosity. This course equips educators with simple frameworks, vocabulary and hands-on activities that help young students begin to understand how AI works, where they encounter it and how to interact with it thoughtfully.
Key Objectives:
Introduce core AI concepts using language and examples accessible to young learners. Identify everyday moments where students already interact with AI. Design simple, playful activities that build early AI awareness and curiosity. Help students begin to distinguish between human thinking and machine responses. Lay the groundwork for responsible and informed AI use as students grow.


Participants discover how AI tools can enhance math instruction by supporting differentiation, providing instant feedback and helping students develop deeper conceptual understanding. Through practical examples and classroom-ready strategies, educators explore how to integrate AI into math workflows without replacing the critical thinking and problem-solving skills students need to develop.
Key Objectives:
Identify AI tools that support math instruction, practice and assessment. (Snorkl, FlintK-12, etc.)
Design activities where AI supports student reasoning rather than bypasses it.
Leverage AI-generated feedback to inform instruction and close learning gaps.
Establish clear expectations for appropriate and responsible AI use in math coursework.


Virtual or In-Person Training | 60 Minutes
Participants learn how to leverage the Flint K-12 platform to support middle and upper school instruction, planning and student engagement. This course provides practical guidance for integrating Flint K-12 into existing workflows, helping educators save time while delivering more personalized and responsive learning experiences for older students.
Key Objectives:
Navigate the Flint K-12 platform and its core features for middle and upper school use. Apply Flint K-12 tools to instructional planning, differentiation and assessment design. Integrate Flint K-12 into existing classroom workflows without disrupting established routines. Support student engagement and independence through platform-enabled learning experiences. Identify best practices for monitoring student use and maintaining academic integrity.


Participants explore how AI tools can help educators meet the diverse needs of every learner more efficiently and effectively. This course focuses on practical strategies for using AI to modify content, adjust pacing, generate targeted materials and provide personalized feedback all while keeping the educator in the role of decision-maker and advocate for each student
Key Objectives:
Identify how AI can support differentiation across content, process, product and environment. Use AI tools to generate tiered materials, modified texts and scaffolded supports.
Design learning experiences that leverage AI to address varied readiness levels and learning profiles. Apply AI-generated data and feedback to inform instructional decisions.
Maintain human oversight and professional judgment in all differentiation decisions.


Participants learn how to integrate AI as a creative and functional partner throughout the design process. From ideation to iteration, this course explores how educators and students can use AI to brainstorm concepts, generate prototypes, refine ideas and solve design challenges while keeping human creativity, intention and critical thinking at the center of every project.
Key Objectives:
Identify stages of the design process where AI can serve as a productive copilot. Use AI tools to generate, refine and iterate on design concepts and prototypes. Guide students in collaborating with AI while maintaining creative ownership of their work. Evaluate AI-generated design outputs critically and make informed revision decisions. Apply AI copilot strategies across a range of project types and subject areas.


Participants discover how to bring AI-enhanced making and tinkering into the classroom without extensive preparation time or technical expertise. This course provides ready-to-use activities and practical strategies for integrating AI into maker space experiences that spark creativity, build problem-solving skills and keep students engaged even with limited time and resources.
Key Objectives:
Identify low-prep, high-impact AI activities suited for maker space environments. Design maker experiences that combine AI tools with hands-on creation and exploration. Adapt AI-enhanced activities for different grade levels, time constraints, and available materials. Guide students through maker challenges that build creative confidence and technical curiosity. Build a personal toolkit of reusable AI-integrated maker space activities.


Participants explore how AI is being used in real-world conservation efforts and learn how to bring those connections into the classroom. This course empowers educators to design learning experiences that combine environmental science with AI literacy inspiring students to think critically about how technology can be harnessed as a tool for protecting the natural world.
Key Objectives:
Explore real-world applications of AI in wildlife monitoring, habitat preservation and climate research. Connect AI concepts to environmental science standards and conservation themes. Design student learning experiences that use AI tools to investigate and respond to ecological challenges. Foster student curiosity about the intersection of technology, data and environmental stewardship. Build cross-curricular lessons that develop both AI literacy and conservation awareness.


Participants learn how to integrate AI into electronics and circuitry projects to inspire student creativity and deepen technical learning. This course provides practical strategies for using AI as a design and troubleshooting partner in electronics-based work helping educators guide students through projects that connect coding, hardware and intelligent systems in meaningful and exciting ways.
Key Objectives:
Identify opportunities to integrate AI into electronics and circuitry projects across grade levels. Use AI tools to support project ideation, circuit design and troubleshooting processes. Guide students in combining hardware components with AIdriven logic and automation. Design project-based challenges that develop both technical skills and creative problem-solving. Build educator confidence for facilitating AI-enhanced electronics projects with minimal prior expertise.


Participants learn how to turn ideas into working applications without traditional programming. Using design thinking and no-code tools, they move from identifying a problem and defining an MVP to prototyping, building, testing and improving a functional solution.
Key Objectives: Apply design thinking to turn ideas into working applications. Define a Minimum Viable Product (MVP) for an application. Utilize no-code tools for prototyping and building solutions. Implement a process for testing and improving a functional solution.


Participants design and build simple AI-powered assistants tailored to school needs. Through tools such as Gems, Claude Skills and custom knowledge systems, participants learn how to structure information, create reusable workflows and develop focused assistants that support daily operations. Key Objectives:
Design simple AI-powered assistants tailored to school needs. Utilize tools like Gems and Claude Skills to build custom assistants. Structure information and knowledge files for focused assistants. Create reusable workflows that support daily operations.


Participants learn how to transform scattered institutional knowledge into organized, accessible systems powered by AI. Through practical examples, participants explore how to design internal assistants and knowledge bases that help staff find information faster, reduce repetitive questions and preserve organizational expertise over time.
Key Objectives:
Identify gaps in how institutional knowledge is currently stored and accessed. Design AI-powered knowledge systems that organize documents, policies and procedures. Build internal assistants that support staff with role-specific information and workflows. Establish processes for maintaining, updating and governing knowledge systems over time. Apply best practices for balancing automation with human oversight and accuracy.


Virtual or In-Person Training | 60 Minutes
This course helps school leaders and teams move AI initiatives from pilot projects into sustainable practice. Participants explore governance structures, change management, measurement, communication and long-term planning to support responsible and scalable AI integration across departments. Key Objectives:
Explore governance structures for AI initiatives. Apply change management and communication strategies for AI adoption. Define metrics for measuring the success of AI integration. Develop long-term planning and roadmaps for sustainable AI integration.


Policies set expectations, but crises reveal gaps. In this workshop, leaders will role-play AI-related incidents from deepfakes to parent challenges and stress-test their school’s systems under pressure. Groups will map responses, identify weaknesses in safeguarding and communication and co-create solutions. Participants leave with an AI Incident Response Playcard and escalation protocol template to strengthen readiness and trust in any school context.
Key Objectives:
Identify common AI-related crisis facing schools. Evaluate current policy and communication gaps through stress testing.
Develop an AI Incident Response Playcard for their School. Map responses and co-create solutions to identified weaknesses.


Spreadsheets,
and Scheduling: Discover how AI can transform the way you manage your daily workload by automating tedious organizational tasks Learn practical techniques for using AI to build smarter spreadsheets, generate concise summaries and streamline your scheduling process. Walk away with ready-to-use strategies that save time and reduce the mental load of staying organized.
Explore how artificial intelligence can help you craft compelling narratives that connect with students, families and your broader school community. This session focuses on using AI tools to enhance communication from newsletters and social posts to presentations and parent outreach. Leave with practical templates and prompts that make your storytelling more engaging and efficient.
This collaborative session invites educators to reflect on where they currently stand in their AI journey and what growth looks like from here. Through guided discussion, participants explore the "gradients" of AI integration from awareness to fluency to innovation. It's a low-pressure space to share, question and build a shared vision for AI in your practice
FlintK12 makes it faster and easier to design assessments that are rigorous, aligned and meaningful for your students. In this hands-on session, you'll learn how to use the platform to generate, customize and refine assessments tailored to your content and grade level. Whether you're starting from scratch or improving existing tasks, you'll leave with assessment-ready materials in hand.


Creative Content Canva's AI-powered features make it easier than ever to produce polished, professional-looking content even if you don't consider yourself a designer. This beginner-friendly session walks you through tools like Magic Write, text-to-image generation and smart design suggestions. You'll leave ready to create eye-catching visuals for your classroom, school events and beyond.
This session takes Canva to the next level by introducing Canva Code, a brandnew feature that lets you build interactive elements without any coding background. Learn how AI within Canva can help you design, write and now even generate functional web-based content all in one platform. Perfect for educators ready to push creative boundaries and explore what's newly possible.
Turning Reports into Stories Raw data doesn't inspire action — but a well-told story does. This session teaches educators and leaders how to use AI to transform spreadsheets, assessment results and school reports into clear, compelling narratives. You'll practice techniques for finding the human story in the numbers and communicating it in ways that resonate with any audience
A C.R.E.A.T.E. Lab. As AI tools become more accessible to students, lesson design needs to evolve to prioritize authentic thinking and meaningful learning. This workshop uses the C.R.E.A.T.E. framework to help educators build tasks that are engaging, purposeful and genuinely hard to shortcut with AI. Expect hands-on design time and collaborative feedback as you rethink and reimagine your existing lessons.


This introductory session is designed for educators who are curious about AIpowered tools and ready to take their first steps with Flint K-12 You'll explore the platform's core features, learn how to write your first prompts and discover simple ways to begin integrating Flint K-12 into your everyday instructional practice no prior experience required.
Ready to go deeper with Flint K-12? This intermediate session is designed for educators who are already familiar with the basics and want to unlock more advanced features and workflows. You'll explore nuanced prompting strategies, customization options and ways to integrate Flint K-12 more seamlessly into your instructional planning.
Before you can teach students to navigate AI responsibly, you need a solid foundation yourself. This session demystifies artificial intelligence how it works, where it shows up and what it means for education. Walk away with the vocabulary, context and confidence to have informed conversations about AI with your students, colleagues and community
Using one AI tool occasionally is a start but the real power comes from building a connected system of tools that work together. This session helps educators move from ad hoc AI use to intentional workflow design, identifying the right tools for the right tasks. You'll map out a personalized AI workflow stack that fits your role, saves time and scales with your needs.


The quality of what AI gives you depends almost entirely on how you ask This session breaks down the art and science of prompt engineering, teaching you how to write clear, specific and effective prompts that produce better results. Whether you're drafting lesson plans, generating feedback or brainstorming ideas, better prompts mean better outcomes.
AI is built right into the tools you already use and this beginner session shows you how to make the most of it. Learn how to use Gemini to draft documents, answer questions and streamline everyday tasks across Google Workspace. No prior AI experience needed; just bring your curiosity and a willingness to work smarter.
This session is designed for educators who are comfortable with Gemini basics and are ready to use it more strategically. Dive into advanced prompting techniques, multi-step workflows and ways to leverage Gemini for deeper planning and analysis. Leave with a more intentional approach to AI that goes beyond convenience and into genuine instructional impact.
Get a clear and accessible introduction to one of Gemini's most practical features: Gems. This session covers the foundational concepts behind Gems what they do, how they differ from standard Gemini prompts and how to set one up for your specific needs. It's the perfect starting point for educators who want a more personalized AI experience.


Gemini Gems let you create personalized AI assistants that are configured exactly the way you need them for lesson planning, feedback, communication and more. This beginner session walks you through what Gems are, why they're useful and how to build your first one step by step. You'll leave with a custom Gem ready to use right away.
Gemini Gems are custom AI personas you can build and return to for specific, recurring tasks and this intermediate session shows you how to use them at a higher level. Learn how to refine your Gems with more sophisticated instructions, tailor them for complex workflows and deploy them consistently across your work. If you've built a Gem before and want to make it truly powerful, this is your next step.
Email overload is real and Gemini can help. This focused session teaches you how to use Gemini to draft, refine and respond to emails more efficiently, whether you're communicating with parents, colleagues or administrators Learn timesaving techniques that keep your tone professional, your messages clear, and your inbox more manageable
Designed specifically for middle school educators, this introductory session gets you up and running with FlintK12, an AI tool built with teachers in mind. You'll explore the platform's core features and see how it can support your instructional planning, assessment design, and classroom content creation. No experience required just come ready to explore what FlintK12 can do for you.


Google Vids in 30 Minutes: Create Videos with AI-Powered Speed
Google Vids brings AI-powered video creation directly into your Google Workspace and it's faster and easier than you might think In this session, you'll learn how to use Google Vids to build engaging instructional or communication videos using AI-generated scripts, visuals and voiceovers. Walk away with a finished (or near-finished) video and the skills to make more on your own.
This session invites educators to think about AI adoption not as a binary you're either using it or you're not but as a spectrum of evolving practice. Through reflection and conversation, participants identify where they are on the gradient and what intentional next steps might look like for them. It's a grounding experience that honors every starting point and charts a path forward.
NotebookLM is Google's AI research assistant that works exclusively with your own documents making it a powerful tool for sense-making and planning. This beginner session introduces you to the platform, showing you how to upload sources and start asking questions, generating summaries and uncovering insights It's an ideal tool for educators who want AI help without sacrificing control over their content
Build on your NotebookLM foundation in this virtual, interactive session designed for educators ready to go further. Explore advanced features like Audio Overviews, multi-source analysis and strategies for using NotebookLM in professional learning and instructional design contexts. Participants will leave with new techniques and a deeper understanding of how to maximize the platform's potential.


This intermediate session focuses on one of NotebookLM's greatest strengths: its ability to help you extract meaningful insights from the documents that matter most to you. Learn how to work with curriculum guides, student data, research articles and school plans to surface patterns, generate questions and inform decision-making. It's AI-assisted analysis that stays grounded in your own professional context.
Snorkl is an innovative AI tool designed to capture and assess student thinking through voice and video responses. This session introduces the platform, walks you through its core features and invites educators to explore its potential as part of the district's pilot program. Come ready to experiment, give feedback and help shape how Snorkl might be used in your school community.
AI is a tool but great teaching is still an art form, and this session celebrates that distinction Explore how to thoughtfully integrate AI in ways that amplify your pedagogy rather than replace it, keeping relationships, creativity and critical thinking at the center This is an inspiring, reflective session for educators who want to grow with AI while staying grounded in what makes teaching meaningful.
The most effective use of AI in education happens before the crisis, before the deadline, before the reactive scramble upstream. This session challenges educators to shift their mindset and use AI proactively in their planning, curriculum design and professional practice. Learn how to build reflection into your workflow so that AI supports thoughtful decision-making rather than just urgent fixes.


When students use AI, the product can look polished but what about the thinking behind it? This session focuses on instructional strategies that make student reasoning visible, even (and especially) when AI is part of the process. Explore tools and techniques that help you assess how students think, not just what they submit.
Zoom's AI-powered Whiteboards have transformed virtual collaboration and this brand-new session shows you exactly how to use them. Learn how to facilitate dynamic, visual conversations and brainstorming sessions with AI features that help organize, summarize and expand ideas in real time. Perfect for educators and leaders who want their online meetings and PD sessions to feel more interactive and productive.
Zoom's AI Companion is built right into your meetings, chats and recordings and most people are barely scratching the surface of what it can do This beginner session covers the essentials: how to use AI Companion to take smart notes, generate meeting summaries and stay on top of conversations without missing a beat. It's a practical, accessible introduction to working more efficiently inside the tools you already use every day.
You know the basics now it's time to use Zoom's AI Companion with real intention and skill. This intermediate session explores more advanced features, including how to leverage AI across Zoom's ecosystem for team communication, async collaboration and meeting follow-through. Leave with a sharper, more strategic approach to getting the most out of Companion AI in your professional workflow.


Training sessions are available in individual, half-day and full-day packages.
Booking reflects trainings for up to 30 people in each presenation and is inclusive of a pre-consultation with the Pine Crest neXt team.
Please note that organizations are responsible for their own technology and software.
Single training: $1,200
Half-Day Training: includes three workshops, $3,500
Full Day Training: includes five workshops, $5,500
Single training: $800
Bundle: includes five micro PD workshops: $3,500 (Ideal for faculty and staff professional development at weekly or monthly meetings.)
+ travel expenses, billed to client if applicable


8:00 - 8:30 a.m. Welcome & Introduction
Overview of the day's agenda
Introduction to facilitators
Setting learning objectives
9:45 - 10:45 a.m.
8:30 - 9:30 a.m.
Workshop 1: Fundamentals of AI
AI capabilities and limitations
Safety and ethical considerations
Integration strategies
9:30 - 9:45 a.m. Morning Break
10:45 - 11:45 a.m.
Workshop 2: Fundamentals of Prompt Engineering
Crafting effective prompts
Working with AI Tools
Workshop 3: Integrating Notebook LM
Document-specific AI retrieval
Insight extraction and organization
Multi-media creation features
1:45 - 2:00 p.m. Afternoon Break 12:45 - 1:45 p.m.
Workshop 4: EZoom AI Companion
Task management automation
Meeting productivity tools
Agenda generation and summaries
2:00 - 3:00 p.m.
Workshop 5: Advanced AI - Gems
Integrating with Google's
Gemini AI Synthesizing resources
Practical workflow acceleration
and A
Application planning
Resource sharing to help participants implement their new AI skills immediately
