Good Tech for Good

How to Build Responsible AI That Works

Daphné Pierre, Esq.

Co-Founder, StartNoo | I help people build Good Tech for Good | Wall Street Alum

Cut through buzzwords and identify when "innovation" hides ethical risk.

Decode AI Hype and Spot Red Flags in Tech Trends

Learn to spot and fix bias in data, models, and deployment decisions.

Catch the 3 Most Dangerous Bias Traps in AI

Practice ethical decisions when the law is unclear and lives are impacted.

Lead AI with Integrity in High-Stakes Moments

Clients want coaching, your team wants direction, and leadership wants you to 10× your own output with AI - all while the AI tech stack changes every week. When you're not-technical and don't have the time to become technical, this becomes an insane challenge to overcome.&nbsp; It's also the challenge that I had to solve for myself. At Accenture, I went from being a non-technical leader to securing $2M in funding for AI initiatives. Then I helped build the AI strategies that drove productivity improvements for over 14,000 consultants. Today, I advise both tech startups and Fortune 1000 companies on becoming AI-native organizations. What you need are frameworks and cheat sheets on what really matters in deciding what, how, and when to apply AI. This cohort isn’t “AI 101.” It’s applied enterprise-grade learning for leaders who want to be ahead of the curve, not catching up to it. Unlike broad "AI for Leaders" courses that just cover definitions, this live lunch-time cohort is hands-on -- you'll pick your top use cases, calculate ROI, decide on the tech stack, and try your hand at automating some of your own workload. WHAT TO EXPECT:Format: four live, lunch-time sessions across two weeksSupport: two optional interactive office hours for hands-on helpPrep: bite-sized, zero fluff—show up, apply, move onOutcome: identify high-impact AI use-cases, craft an executable plan, and become the AI-native voice in your org (or for your clients) WHAT WE'LL COVER:- Pinpoint problems that are truly AI-solvable (we’ll choose them live)- Scope projects that become career-making case studies, not budget sinkholes- Speak “just-technical-enough” about GenAI, agents, ML, and automation- Make smart Build • Buy • Vibe-Code calls to save cash and time- See case studies from companies seeing 70%-300% improvements in productivity, marketing, engineering, and product management- Select platforms for low-code / no-code AI automations- Set realistic expectations with leadership and clients- Overcome resistance and build cross-functional buy-in- Avoid the costliest implementation traps- Keep your strategy relevant as the tech leaps forward TOOLKIT YOU'LL TAKE WITH YOU:1. Build, Buy, Vibe-Code AI Solution Decision Matrix2. AI Vendor Assessment Checklist3. “Why We’re Going AI-Native” Narrative Template4. 7-Point Checklist to Avoid AI Project Failure5. Handpicked list of my personal AI tech stack (the coolest AI products in the market right now) to explore The goal isn't to make you a technical expert - it's to give you the confidence to lead AI initiatives successfully. WHO WILL BENEFIT MOST FROM THIS COURSE: - You're responsible for AI projects but don't have a technical background- You need to make strategic decisions about AI investment- You're leading consulting engagements and clients want coaching on AI- You're bridging the gap between technical teams and business objectives- You want to position yourself as a forward-thinking leader WHO THIS IS NOT FOR: - Developers or AI engineers seeking technical implementation skills- Those expecting to become AI experts overnight- People looking for general "this is what ChatGPT is" courses If you're still not convinced, consider this: The price of this course is a fraction of the cost of a single failed AI project (so you should ask if your company will pay for this). And even if they won't, this is a small investment towards making your career future-proof.

Expectations have never been higher...

Course syllabus

Use your lunch hour for the most impactful activity you could have on your plate -- future-proofing your career.

Wednesdays & Fridays Live Sessions

Open Office Hours for any questions and deep dives.

Thursday AMA Office Hours

Course schedule

Team leads, directors, and department heads who have been "volun-told" to implement AI and need to show a plan, quickly.

AI consultants who need structured frameworks to help clients decide on AI use cases, execution, and ROI.

Execs, founders, and business owners who need to set the AI strategy for their org and can't afford to make costly mistakes

Who should take this course

What you’ll get out of this course

Companies are already seeing huge results...HubSpot improved email performance by 70%, Gumroad increased feature releases by 300%. Don't reinvent the wheel. Learn directly from real, behind-the-scenes case studies - and leave with a tangible plan for your team.

Leapfrog to picking 2-3 of the most impactful AI use cases based on what top AI leaders are doing

Decision fatigue is real -- and not all use cases need to be custom-built (and who has engineering resources for that, anyway). You'll be able to confidently decide how you should implement each use case to maximize speed to value. We'll apply this framework together in real time

Steal my framework for quickly deciding whether to Build, Buy, or "Vibe Code" AI solutions

Learn how to prompt AI agents like a boss, pick the right platform (Zapier, Make, ChatGPT, N8N), and start to automate your own work so you can deliver 10x more value.

Vibe code your AI "quick wins" live

74% of companies are struggling to see value beyond an AI proof of concept. We'll cover what makes a good AI deployment (to AI agent or not to AI agent) so your efforts stay relevant and scale over time. We'll analyze real situations from within the cohort.

Deconstruct the best practices and top mistakes companies make when deploying AI internally

AI tech isn't even the hardest part -- AI leaders are putting 80% of their effort into aligning people and processes. You'll leave with a clear, actionable roadmap to transform your team into an AI-Native powerhouse.

Create your own "Why We're Going AI Native" narrative to gain buy-in from your team

Pick winning AI use cases, gain confidence in executing your AI plan, and get recognized by bosses and clients for being AI-native

Lauren Vriens

Cohort 1

Cohort 2

We are currently launching the second pilot cohort with DISCOUNT CODE available. Employer reimbursement available too. Submit application first and we will reach out 🚀 ------- The AI space moves fast—sometimes too fast. New models launch weekly, tools multiply daily, and it’s genuinely difficult to separate signal from noise. 💡 If you are working in edtech, you’ve probably wrestled with questions like:Which models are actually reliable for learning? How do you evaluate bias in AI tools? What does responsible AI development look like when real students are involved? In the rush to adopt AI, ethical and educational responsibility often fall through the cracks. This bootcamp is here to change that. Learn the essentials, cut out the noise, and leave with a solid foundation of practical AI skills that you can then go on and upskill yourselves. 🌟 What we offerHands‑on ethical frameworks, no-code AI development tools, and real case studies of AI in education applications — so you can build trustworthy learning tools with confidence. Above all, we create space for the conversations that matter most: what AI can (and can't) solve, for whom, and why. ---------- Our Approach: Nails and hammers, with Critical Perspectives Our bootcamp structures around a simple 3-step framework:❓Identify the nails — the unseen harms and ethical dilemmas that emerge when AI meets education🔨 Apply the hammers — different LLM techniques and approaches that can address these challenges⚠️ Acknowledge the limits of each hammer, and communicate proactively We then take this learning process into practice:- Bridging sociotechnical harms and biases with advanced prompting and RAG;- Connecting design justice principles to actual workflows;- Exploring the tension between equity and impact through hands-on fine-tuning exercises. --------- What Makes this Bootcamp Unique? ✅ Grounded in research, biased toward actionDistilling insights from critical AI in education (AIED) research as well as the latest AI research published by leading institutions such as Anthropic and Google Deepmind. Moving beyond jargon and buzzwords, applying these insights directly to edtech prototypes. ✅ Decision-making over coding: leveraging no-code LLM platformsLearning to use Dify.ai, a popular open-sourced, no-code LLM development platform, and Google AI Studio, enabling quick decision-making and implementation of LLM improvement techniques without getting into the nitty-gritty details of coding. ﻿✅ Multi-disciplinary perspectives Building capacity in navigating the social, educational, and technical aspects of AI edtech, fostering effective communication with diverse stakeholders for co-creation and collaboration. How This Bootcamp Benefits Your Career in Edtech? 🎯 Responsible AI is quickly becoming a core competency and competitive advantage in the edtech industry. 🎯 Practitioners who possess in-depth knowledge and hands-on skills in responsible AI are more effective in communicating and influencing product design and development decisions. 🎯 Companies and products that incorporate responsible AI techniques are more likely to build trust and adoption among education stakeholders, which leads to long-term, sustainable engagement. ---------

Develop Core AI Skills to Build Edtech Products Responsibly using No-code Tools

Pre-live session course materials

Live Sessions

Weekly assignments and projects

Time commitment

Edtech Product Managers, UXR/Designers, and Learning Engineers looking to upskill and gain hands-on experience of responsible AI

Aspiring edtech Entrepreneurs and Founders passionate about building trustworthy and equitable AI products in education

Teachers and Researchers interested in building edtech projects, incorporating responsible AI techniques

Who is this course for

Develop hands-on AI technical skills - Advanced prompt engineering, RAG, agentic workflows

Master no-code AI development platform such as Dify.ai and Google AI Studio

Apply responsible AI frameworks directly to edtech product design and development

Building a culturally-responsive content generation toolDesigning a personal tutor with advanced prompting and RAGApplying safety and evaluation guardrails to an auto essay grader using agentic workflows

Demonstrate your competencies with 3+ high-impact AI edtech projects

Communicate effectively with both technical and non-technical audience on responsible AI

Putting everything together with your own capstone project

Bonus: Fine-tune your own LLM with alignment, using Supervised Fine-tuning (SFT), Synthetic Data Generation, and Constitutional AI

Learn advanced AI techniques and guardrails to build trustworthy AI edtech products using no-code platforms.

Richard Tang

Founder & Entrepreneur &  Data Scientist

Xinman (Yoyo) Liu

Co-Founder, Learnest AI | AIED Researcher & Practitioner

Sophie Chen

Team Lead, Learnest AI | Program Director @ Plug & Play Foundation

Learnest AI

Inspiring responsible and human-centered AI in education

Pilot Cohort 2

1. The AI Shift: We will map the landscape of today’s AI players, trends, and what “Agentic AI” really means for your industry. 2. Agents vs. Apps: We will review the difference between chatbots, copilots, and truly agentic systems — and why it matters. 3. Building Your First Agent: You will be guided through a hands-on creation of a mini-AI app using no-code tools like Opal, Zapier/n8n, or Claude Artifacts. 4. From Tasks to Workflows: You will learn how to design agents that don’t just answer questions, but&nbsp;act, connect systems, and automate multi-step processes. 5. Troubleshooting &amp; Iteration: We will review common mistakes, debugging strategies, and how to refine your agents for reliability and impact. 6. Scaling with Agents: We will outline how to shift your AI use from personal productivity to team workflows — and future-proofing your role as AI reshapes work.

Topics we will cover

Sundays

Weekly projects

Mid-level Managers &amp; Team Leads: Use AI to streamline workflows, boost team output, and stay indispensable at work.

Consultants &amp; Analysts: Leverage AI to research faster, craft insights, and deliver sharper client-ready strategies.

Founders &amp; Entrepreneurs: Apply AI to build leaner, move faster, and outpace competitors with fewer resources.

Cut through the noise — learn which AI platforms, players, and trends actually matter for business professionals, and map 2–3 use cases directly to your role or industry.

Master the AI Landscape

Go hands-on with no-code tools like Google Opal, Zapier/n8n, and Claude Artifacts. By the end of Session 2, you’ll have built and shared your own working AI mini-app.

Build Your First AI Agent

Move beyond single prompts — design agents that can plan, act, and connect across multiple systems to handle research, reporting, client comms, and more.

Automate Complex Workflows

Learn debugging strategies, iteration cycles, and best practices for refining your AI builds so they’re reliable, accurate, and ready for real-world use.

Troubleshoot & Iterate Like a Pro

Develop the confidence and frameworks to lead your team in adopting AI responsibly — positioning yourself as a forward-thinking professional who can adapt as AI reshapes work.

Future-Proof Your Career

AI is reshaping every industry. Adapt or risk falling behind. This course gives you the tools to stay relevant and lead the change.

Danish Dhamani

Nadim Nasser

You know AI is transforming HR, but you’re tired of theory.You've probably experimented with ChatGPT for job descriptions, attended webinars that left you with more questions than answers, and watched other departments race ahead while HR stays cautious. The pressure is real leadership expects AI innovation, competitors are moving faster, and you’re stuck between awareness and action, spending hours on work that could be automated. 📊 Our research with 200+ HR professionals revealed:- 65% are stuck in experimentation.- 13% have integrated AI into core workflows.- Just 2% are leading strategic transformation. The gap isn’t technical knowledge. It’s practical frameworks, strategic context, and real-world guidance to work effectively with AI and prepare for managing AI-enhanced teams. And that’s exactly what this course delivers. 🤔 Critical Questions This Course Will Help You AnswerMost HR professionals know AI is important but struggle with these fundamental questions: - "I know AI could help HR, but I have no idea where to even begin—what's my first step?"- "Which HR processes should I automate first for maximum impact without creating compliance risks?"- "How do I write prompts that capture our company culture, policies, and legal requirements?"- "What makes an AI tool safe for sensitive HR data vs. a compliance nightmare?"- "How do I communicate AI ROI without sounding like I'm overselling technology?"- "How do I position myself as an AI-forward HR leader without alienating my team?"- "What's my roadmap to scale from pilot project to organization-wide adoption?" What to Expect This is an 8-week intensive that combines hands-on workshops with real-world learning from practicing HR leaders. You'll spend your time building actual AI prototypes for your specific challenges, presenting them in peer "shark tank" sessions, and learning directly from CHROs and CPOs who've successfully scaled AI across their organizations. 🛠️ How This Course is Designed for Mastery This isn't passive learning, it's collaborative problem-solving with peers facing the same challenges and guidance from leaders who've already solved them. Our proven three-part methodology builds expertise systematically: 🔧 Week-by-Week Skill BuildingLive workshops where you build working AI solutions for your biggest time-drains. Each week builds on the previous foundation—from individual assessment (Week 1) to team implementation strategy (Week 8)—ensuring you develop both tactical abilities and strategic judgment. 👥 Peer Learning AccelerationWeekly "shark tank" sessions where you present prototypes to cohort members for feedback. This accelerates learning by exposing you to diverse approaches and helping you avoid common pitfalls before you encounter them in your organization. 🎓 Executive Practitioner Insights15-20 minute deep-dives with CHROs and CPOs actively using AI in Fortune 500 companies. These aren't theoretical presentations—you'll learn from real implementation successes and failures, getting insider perspectives on what actually works at scale across organizations from 500 to 50,000+ employees. 🎁 Bonus: Weekly Office Hours - Optional 30-minute sessions for personalized guidance on your specific implementation challenges and organizational context. 💡 What You’ll Learn (and APPLY immediately) By the end of this course, you’ll be able to: ⚡ How to spot the right AI use cases—fastUse a strategic framework to assess your current AI readiness and identify 3–5 high-impact HR tasks you can automate to save 10+ hours/week.⚡ How to build your first working AI solution—without codingCreate live prototypes for resume screening, employee Q&amp;A, and HR report generation using tools like ChatGPT, Copilot, and Claude.⚡ How to craft prompts that actually work in HRLearn proven prompt structures that produce accurate, consistent, and context-aware outputs aligned with your org’s policies and tone.⚡ How to experiment safely with AI toolsEvaluate platforms through a compliance and risk lens—ensuring ethical use, data protection, and legal readiness from day one.⚡ How to pitch your AI use case to leadersGet peer and instructor feedback as you learn to communicate the ROI of your solution—building credibility and buy-in across the business.⚡ How to build a 90-day roadmap for scaling AI in HR - YOUR Capstone ProjectWalk away with a customized action plan, stakeholder map, and metrics to launch your AI pilot immediately after the course. ✅&nbsp;Who This Course Is For You're not here to chase hype, you want to master AI with intention and apply it where it counts. This course is designed for early to mid-career HR professionals (0–10 years of experience) working across Talent Acquisition, HR Business Partnering, Learning &amp; Development, and People Operations—especially if you're: - Recent graduates or career changers (0-2 years) entering HR who want to build AI fluency from day one and start their careers as AI-native HR professionals in an increasingly automated workplace- A Talent Acquisition Specialist drowning in resume reviews and manual JD edits, wondering how to use AI to free up time for candidate engagement- An HRBP or People Partner who just got asked to "explore AI for the org" but aren't sure how to evaluate tools, build use cases, or speak to ROI- A COE leader in L&amp;D or People Analytics who wants to embed AI into development programs or automate internal reporting workflows- HR professionals at any level who are tired of being left out of AI conversations in cross-functional meetings because you don't have concrete examples of how AI applies to your daily work- A People Ops Manager overwhelmed with backlogged policy updates and recurring HR questions, looking to build scalable AI workflows without waiting for IT- A high-performing HR generalist who's used ChatGPT for basic tasks—but now wants a roadmap to scale real solutions and drive adoption across teams You'll learn not just from me, but from a carefully curated network of CHROs, CPOs, and AI-forward HR leaders who join us weekly to share real implementation stories, common pitfalls, and practical advice. These aren't theoretical presentations, they're 15-20 minute deep-dives with executives who've successfully scaled AI across organizations ranging from 500 to 50,000+ employees. Many of our learners come from mid-market companies, Fortune 500 enterprises, and fast-growing startups across healthcare, technology, and financial services—with one thing in common: the pressure to move from experimentation to action. If you've recently been asked to "bring AI into HR" but don't know where to start or you've started but want structure, confidence, and real-world examples to get it right, this is for you. ❌ This course is not for you if… - You want someone else to implement AI for you instead of learning how to do it yourself.- You believe AI is just a passing trend and don’t see a need to understand how to work alongside it.- You're looking for step-by-step tutorials for every AI tool out there. We teach judgment and transferable frameworks, not one-off scripts that may be outdated tomorrow.- You expect to master AI integration overnight. This is about consistent practice, experimentation, and real-world learning.- You're unwilling to experiment with new tools or share your work-in-progress with others. The cohort thrives on shared wisdom and peer feedback.- You need to feel 100% confident before trying anything new—or you're hoping this course will validate avoiding AI altogether.- You're aiming to become an AI engineer or data scientist. This course is for strategic HR professionals, not technical specialists. We focus on unlocking strategic thinking and real-world application, not deep tech. The course also includes: - Real-world case studies from Fortune 500 implementations- Templates for business cases, policies, and implementation plans- Plus: Accountability partnerships to ensure you implement what you learn- Access to course materials, recordings, and practitioner network- All sessions taught by HR practitioners, for HR practitioners All sessions will be recorded so you can refer back to the material and continue learning as AI tools evolve. If you engage fully with the course—building prototypes, participating in peer feedback, and applying frameworks to your specific context—you will make a major leap ahead. You'll position yourself at the forefront of HR's technological evolution while maintaining the human-centered approach that makes our field essential.

From Uncertain Experimenter to Confident AI Champion

No technical background required . just an open mind and a drive to explore new possibilities in HR.

Curiosity

Access to the internet for course materials , tools and readiness to move beyond traditional HR methods.

A browser

Be ready to challenge old assumptions and most importantly, bring willingness to experiment, make mistakes, and iterate as you build.

Willingness to Unlearn

Transform from AI-curious to AI-fluent HR leader through intensive weekend workshops, AI Shark Tank sessions, and real-world prototype building.

8-Week Intensive Program | 19 Live Sessions

You can't master prompt engineering or build working prototypes in 30-minute lunch breaks, you need deep work sessions to truly understand how AI can transform your HR processes.

Weekend Intensive Format | Saturdays & Sundays

Advanced workshops covering multimodal AI, executive strategy sessions, and specialized deep dives when complex topics require extended focus

Selected Fridays

Between sessions, you'll complete application exercises and reflections that help you apply what you learned to your specific organizational context. These are individual assignments designed to bridge course concepts with your real-world challenges.

Weekly Application

This schedule is optimized for immediate application. You learn on weekends, then test and refine concepts in your organization during the week.

Learning on the GO

All live workshops include Q&amp;A, hands-on exercises, and peer collaboration. Sessions are recorded and available for review. Can't make a live session? Catch up with recordings and bring your questions to the next session.

For early to mid-career HR pros (0-15 years): HRBPs, TA Specialists, Directors, People Ops Leaders.

You have a demonstrated interest in HR innovation; ready to be an AI innovator.

You're experimenting with AI but feel overwhelmed or unsure how to scale for real impact.

You're drowning in resume reviews and manual report creation. We'll help you identify your biggest time-drain and build a working AI solution for it without coding.

Master context-driven AI implementation that saves 5+ hours weekly

Your CEO asks "What's our AI strategy for HR?" and you want to give a confident, specific answer. We'll practice crafting responses that demonstrate your understanding of AI applications, ROI potential, and implementation roadmaps so you sound like the strategic leader you are.

Articulate AI strategy with confidence in high-stakes conversations

Every AI vendor claims their tool is "revolutionary" and "perfectly safe." You'll learn to cut through the marketing speak and assess tools based on your specific HR needs, data protection requirements, and integration challenges. No more pilot projects that go nowhere.

Evaluate AI tools without falling for vendor promises

You'll learn to transform your deep understanding of policies, culture, and organizational dynamics into AI implementations that produce work meeting professional standards. Your outputs will reflect the nuanced judgment of an experienced HR practitioner.

Engineer context-rich AI systems using your HR expertise

The biggest barrier to AI adoption isn't technical, it's human resistance. You'll master the change management strategies that get your team excited about AI as a productivity partner, not a job threat. Learn to position AI implementations as career enhancers, not career enders.

Lead AI adoption through strategic change management

Your manager wants to see ROI projections, not just "AI will make us more efficient." We'll help you build presentations with specific metrics, timelines, and success measures that speak to executive priorities turning your AI initiative from a nice-to-have into a must-have.

Build compelling business cases that secure executive support

Master proven AI frameworks to automate HR tasks, build ethical policies, and lead strategic implementation that drives measurable impact.

Lightning Lessons

How to Build Responsible AI That Works