Sparkurity - Juris Puce

Building "AI USAGE POLICY" for your organization

Juris Puce

Partner in PEAK DEFENCE, global expert in AI and cybersecurity

Learn what has to be in AI usage policy for your organization. How to ensure it covers all the aspects

How to build and implement AI usage policy

Basics for how to assess AI risks and improve your supplier assessment process

Basics of AI risk management for SaaS

Figure out how to deal with implementing AI components into your product and what regulations (EU AI act) requires

Using AI solutions in your product

There is no doubt that 2025 will be the year for AI governance. Get started. Actually, forget about just getting started, let's fully build your program in 3 weeks! This packed course will be your forcing function to roll out a fully developed AI governance program, getting your company in compliance and moving fast! Since 2015, I have been focused on AI governance. As the General Counsel at an AI company who offered computer vision technology (think the eyes of the AI), I knew from the day I took that job that my primary focus was incorporating ethical AI practices into the company's core mission. In fact, I demanded that "Responsibility" was one of our core values! And I built a robust program that included diverse stakeholders from around the entire organization, principles, policies, regular meetings, product interventions and a Board committee charter. I know how hard it is to implement governance and also how critical it is when it comes to AI technologies. I am taking all that knowledge and all those learnings and giving them to you. In this course, you will accomplish in 3 weeks what it took me 3 years to build. I have templates that I will provide to you and we will customize them during the course. If you are struggling to make time to add AI governance into your multi-hat wearing position, then I understand! My goal is to use our time together as efficiently as possible so that you will walk away with a tangible benefit. If you are ready to start implementing an AI governance program, then you are in the right place. Here is what sets this course apart: 🐲 Access to a list of over 50 AI governance frameworks and standards. 🐲 Policies! Whether you want one policy that you roll out to your entire company or one per business unit. ($1500 value) 🐲 AI Risk assessments templates that you can customize for your own use to manage AI vendors. ($1500 value) 🐲 How to develop trust and compliance and prove it to your customers. (priceless) 🐲 Employee surveys so you can evaluate the ROI of your AI tools and your governance program. ($299 value) 🐲 and maybe a custom AI Governance GPT...

Workshop your AI Governance Program 

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

3 Fridays, 1 hour long live session. Lots of materials and opportunities to do work outside of the live sessions but the point is to use our 3 hours together to build your program.

Fridays

This course begins the week of January 6, 2025.

January 6, 2025

Each week has a project that we will focus on for the live session. However, if you don't get it done during the live session, it may require some additional time.

Weekly projects

Course schedule

AI Governance LeadersFor those getting started or need to refresh your AI governance program.

LawyersSeeking to give clients the best advice on managing AI risks.

Privacy and Security ProfessionalsTasked with AI governance seeking guidance on practical, fast roll out of your governance program.

Who is this course for

What you’ll get out of this course

Using the NIST AI RMF standard, you will develop a governance framework that is customized to your business and ready for an AI-focused gap analysis.

How to Conduct a Gap Analysis

A template for drafting your company's core principles and how to use them to inspire all employees when they are using AI for company purposes.

Your AI Principles

No governance program is complete without policies! You will have a great template from which to build your own policies and we will spend class time revising them.

AI Policies

You will leave with at least one questionnaire, whether you want to use it to assess AI vendors or self assess your conformity to the EU AI Act or other standards and regulations.

AI Assessments

Training ideas for your colleagues and employees and the method to measure the success of AI in your organization.

Maintaining AI Governance

In 3 weeks, build your AI governance program. #1 program for building your Responsible AI practices in real time.

Caroline McCaffery

Cohort 2

Cohort 3

Most of the stuff out there for getting into AI is created by people who haven't worked in AI. Compiling lists of links and resources can be helpful, but nothing replaces real stories of people who have navigated the journey of getting into AI firsthand. We've each:• Developed the technical and soft skills necessary to get into AI• Built networks and leveraged LinkedIn and other social platforms to connect with people and jobs• Hired people into AI jobs and can tell you what each of us has looked for, with tips for resumes and interviews Over the span of&nbsp;5 sessions, each with a Q&amp;A hosted John Kraski, you'll be guided through an individual journey into AI, starting from different vantage points:• Pascal Bornet started in finance• Cassie Kozyrkov started in neuroscience• Carly Taylor started as a chemist• Noelle Russell started as an educator• Brian Evergreen started as a musician Then each instructor will share about their experiences hiring into AI roles, with actionable tips for resumes and interviews. Each instructor will share what they would do if they were starting out today without their network and without any work history, and how they would approach getting into AI if they already had a job in another field or function. Each instructor will then be asked 5 questions selected from questions submitted in advance by course students. All sessions are recorded, so no matter where you are, no matter what time-zone you're in, you can learn how to get into AI.

New year, new career. Get into AI in 2025. 

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Tuesdays & Thursdays

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May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

For professionals who didn't study computer science but want to get into AI

For computer scientists looking to stand out and grow

For mid-career professionals looking to pivot into AI

We will dive deep into decision criteria that led to different career choices, with practical recommendations for how you can be thinking through your next step in 2025.

How to decide where you want to work in AI

Each of us took different paths to develop the skills that we leveraged to get into AI at top companies. We will share the combination of resources, studying, and skill-building it took for each of us to reach our goals, and where we would start if we were starting today.

How to develop the right technical and soft skills

You could be the best data scientist, the best product manager, or the best solution architect in the world, and it wouldn't matter if no one knows it or you. We will share how we developed our networks and the roles they played in our careers.

How to build the right network

Standing out for a job well done or for the momentum you might be building toward an initiative can be a tricky balance. We'll share how we got visibility to grow within our different organizations, how we raised our hands for extras assignments, and some of our lessons learned.

How to stand out (the right way)

Sometimes the loudest people on the internet about the future of jobs in the era of AI are people who don't understand AI. We will provide our honest perspectives on where job functions aligned with our areas of expertise are headed and what we recommend.

A glimpse into the future of jobs in the era of AI

As we share our career stories, you will hear real-world examples of actual projects for top companies, revealing what it actually takes to implement AI and simplifying what is often opaque to people outside of AI.

Real-world examples of AI jobs and projects

Gain insights from the passion and experiences of like-minded professionals who are investing in getting into AI.

Network and learn from leaders and fellow participants

Learn from leaders who got into AI at Microsoft, Amazon, Google, and other top companies. We will share actionable tips for 2025.

Cohort 1

Cassie Kozyrkov

CEO, Kozyr | AI Advisor | Google's first Chief Decision Scientist

Pascal Bornet, Brian Evergreen, John Kraski

Author of Irreplaceable | AI Expert with 2M+ Followers | Former McKinsey, EY

Carly Taylor

Engineering @ Call of Duty | Gaming | Machine Learning

Noelle Russell

Founder and Chief AI Officer | Former AWS, Amazon Alexa, Microsoft, Accenture

Agentic AI or AI systems capable of operating with some degree of autonomy, is transforming how we interact with technology. In the coming years, most software systems will integrate AI agents to enhance their capabilities. This shift will drive a growing demand for professionals who can move beyond surface-level understanding and apply AI effectively to solve real business challenges while navigating practical constraints. This course focuses on practical AI agent development, covering key usage paradigms such as workflow agents, integrating RAG/retrieval components, autonomous agents, and fine-tuning—all with a strong emphasis on real-world applications. Instead of just explaining "what" these techniques are, we’ll explore "when" and "how" to use them, equipping you to make informed, business-driven AI decisions. ⛳ What Makes This Course Unique Solving Real Enterprise Challenges, Not Just ConceptsWhile most courses stop at teaching tools and frameworks, this course goes further by focusing on solving real-world business problems. You’ll tackle practical constraints like cost, scalability, latency, and performance, learning to design AI solutions tailored to real use cases that deliver value. Participate in Weekly Enterprise Use-Case Workshops with PeersAll content will be recorded and available for async viewing. Each week, we’ll have team workshops to discuss real-world business use cases that can be tackled using the concepts covered that week, along with any challenges we encounter. Hands-On Product DevelopmentYou’ll build a real-world agentic product from scratch (low code options available). Our tutorials will guide you through creating your own Perplexity (Agentic search system), giving you practical experience with application techniques. Collaborative Team WorkshopsExperience what it’s like to solve a business problem in a real-world setting. In a collaborative workshop, you’ll work with others to design and develop solutions, simulating how teams take AI projects from 0 to 1.&nbsp; Capstone ProjectLearn how to connect cutting-edge research with real-world applications. For the capstone, you’ll use our curated list of the latest research papers to design and implement solutions for practical business use cases. ☕ Weekly Chai &amp; AI Sessions with Our Problem-First CommunityJoin optional weekly sessions during the course where we discuss the latest AI developments, their impact on enterprises, and what they mean in practice. We bring in guest speakers, including AI practitioners, industry leaders, founders, and VCs for AMA sessions, along with deep dives into research and hands-on workshops to bridge theory with real-world applications. Guest Lectures from Industry ExpertsWe believe in learning from practitioners who have built and deployed real AI solutions in the enterprise—not just talkers, but doers. Our past cohort guest lectures have featured leaders who drive AI adoption at scale, including:Ranjani Mani – Director and Country Head, Generative AI @ Microsoft India &amp; South AsiaAman Khan – Director of Product, LLM @ Arize AIVignesh Kumar – Director, E-commerce &amp; Marketplace - Digital Transformation (AI/ML) @ Orange BusinessDoneyli De Jesus – Principal AI Architect @ SnowflakeJayeeta Patatunda – Director, AI CoE @ Fitch RatingsWe aim to bring many more industry leaders in future cohorts, ensuring you learn from the best in the field. 🫨🫨🫨The Biggest Advantage! (Lifetime access to future cohort material)AI moves fast, and staying ahead means continuous learning. That’s why all students get lifetime access to the latest AI material from all future cohorts—no extra fees, no outdated content. You’ll always have access to latest cohorts lecture recordings and reading materials, incorporating the latest model updates (like reasoning models currently), emerging techniques, industry shifts, and best practices. This is your one-stop learning hub—no need to keep signing up for new AI courses. New Concepts Coming to the May 2025 Cohort:Reasoning Models – A full module on when, how, and why to use themMCP &amp; Agentic Apps – Building agentic applications using MCPAgent Evaluations – Methods and best practices for assessing agentsAgent Architecture Breakdown – Deep dive into popular agents like NotebookLM, Deep Research, and potential architectures 🙌 Plus, top students get lifetime access to our Chai &amp; AI community sessions and in-person meetups, where they can dive into deep discussions, network with top industry professionals, and gain exclusive insights straight from the frontlines of AI. ❌ Who This Course Is Not For For Those Who Have Already Deployed Gen AI in Enterprise: This course is designed as an applied foundations course for enterprise AI with only basic Python as a prerequisite and no ML background required. If you’re already familiar with deploying AI systems, you won’t gain much from the core content. However, if you're looking to network and refine best practices, you're welcome to join. Those Seeking Heavy Theoretical Knowledge: This course emphasizes applied learning and practical problem-solving, not deep dives into theoretical topics like transformer architecture, pre/post-training optimization, inference techniques, or alignment. Those Who Have Never Coded Before: While we provide low-code options, this course assumes you have some coding experience. It’s not suitable for those who have never written or worked with even basic code. Individuals Expecting Deep AI Research Focus: While we’ll cover cutting-edge techniques, this course is centered on applying AI to business problems, not research-heavy exploration. Scaling and Ops Enthusiasts: This course does not focus heavily on scaling or operational aspects (i.e., LLMOps). Deployment will be covered at a high level, but not in-depth.

Design and build impactful agentic AI systems to solve business problems.

Recorded Lectures, Weekly Office Hours, Live Guest Lectures, Team Workshops and Live Chai &amp; AI Sessions

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design

Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions &amp; lead AI initiatives

Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions

Learn applied generative AI techniques like prompt engineering, RAG, agents, and fine-tuning, with a focus on applying them effectively to real-world business scenarios. Understand how to navigate constraints like cost, latency, and performance constraints in AI systems.

Master Applied Generative AI Concepts
 

While learning applied AI concepts, we’ll put them into action by building a Perplexity-like AI-powered search system through detailed, hands-on tutorials that demonstrate their practical application (Low code options will be provided)

Apply Concepts to Build an Agentic Search System

Participate in brainstorming sessions and team huddles to approach hypothetical business problems. Learn to identify the right AI solutions for specific use cases, leveraging low-code options where applicable.

Tackle Business Use-Cases with AI

Gain a deep understanding of key challenges in building AI systems, including handling hallucinations, adversarial attacks, security, privacy issues etc., and learn best practices to evaluate AI solutions comprehensively

Understand Challenges and Effective Evaluation
 

You’ll design and demo a solution for a hypothetical business problem, integrating insights from relevant research papers in my curated list, hand-picked for enterprise relevance. This project will also involve addressing challenges and evaluation methods.

Final Capstone Project
 

The course includes guest lectures from industry experts, AMA sessions, and our Chai &amp; AI discussions, culminating in a final in-person meetup in the Bay Area. You'll have plenty of opportunities to network and become part of our community.

Access to the Problem-First AI Community

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build an application from scratch

March 2025 Cohort

Aishwarya Naresh Reganti

Tech Lead @ AWS | Lecturer | Advisor | Researcher | Speaker | Investor

Kiriti Badam

Founding Engineer @ Kumo.ai | Ex-Google

May 2025 Cohort

Every Business Leader Must Understand AI and Manage Responsible AI Strategies (8 Interactive Sessions over 4-weeks to Equip Leaders with Strategies and Tools to Ensure AI Literacy, Ethics and Leadership) AI is reshaping industries, and leaders need to move beyond the basics. From building AI literacy to mastering ethical frameworks and leadership strategies, this 4-week course equips business and IT leaders to confidently lead in the AI age. Designed for professionals seeking more than surface-level understanding, this course delivers actionable insights and practical tools to integrate Responsible AI effectively into their organizations. What You’ll Learn: AI Fundamentals:Understand AI Literacy, what AI is, how it works, and its practical applications in business. Ethical Frameworks:Identify and mitigate risks like bias and lack of transparency while ensuring compliance with global regulations like the EU AI Act and US Guidelines. Leadership Strategies:Develop the skills to embed Responsible AI into your organization’s processes, culture, and long-term strategy. How This Course Stands Out: 1. Hands-On and InteractiveWith 8 live sessions and collaborative exercises, you’ll experience a dynamic learning environment not found in pre-recorded or free online courses. Receive personalized feedback to address your unique challenges. 2. Tailored for Leadership ImpactThis isn’t just about understanding AI—it’s about leading responsibly. Gain tools like a 6-month Responsible AI strategy and KPIs for governance, ready for immediate implementation. 3. Expert GuidanceLearn from industry leaders with deep expertise in Responsible AI, providing practical solutions for today’s complex challenges. AI Legislations Covered: -EU AI Act: Key compliance requirements and their implications for businesses. -US Guidelines and Laws: Emerging frameworks shaping Responsible AI adoption. This course bridges the gap between AI literacy and practical leadership, equipping you to navigate compliance, mitigate risks, and drive Responsible AI initiatives in your organization.

Today's businesses need AI-literate leaders to drive and deliver Responsible AI

Each session combines expert-led instruction, engaging presentations, and practical knowledge-sharing with highly interactive components, including real-world case discussions, group exercises, and live feedback. This dynamic approach ensures participants gain actionable insights

8 live interactive sessions over 4-weeks

4-weeks

Blend of instruction and interactive components

Sessions

Gain tools like a&nbsp;6-month Responsible AI strategy&nbsp;and&nbsp;KPIs for governance, ready for immediate implementation

Project work

During or after the course, participants can access office hours with Kevin and Team

Office Hours

Business leaders who want to gain AI Literacy and implement strategic frameworks to ensure compliance.

Transformation Leaders driving digital transformations and want strategies and tools to ensure Responsible AI.

Compliance Managers responsible for rolling out AI initiatives and want to align EU AI Act and US Legal Frameworks.

Understand key AI concepts, tools, and applications to confidently drive data-informed decisions in your organization.

Master AI Fundamentals

Gain practical insights into compliance, risk management, and ethical AI to align your business strategies with emerging regulations

Comply with EU AI Act & US Frameworks

Build strategies to implement AI effectively, fostering innovation and elevating AI literacy across your teams.

Lead AI Integration

Set new AI-driven productivity standards and develop frameworks to evaluate talent in an AI-augmented workplace.

Redefine Productivity

#1 Responsible AI Course: 8 Live Sessions over 4-weeks, providing leaders with the Strategies & Tools for AI Literacy, Ethics &  Leadership.

Lightning Lessons

Building "AI USAGE POLICY" for your organization