Build your future with AI skills

The AI Access Labs program is free to participants.

AI Access Labs is a 12-week cohort-based program. It includes live sessions, async content, hands-on projects, and peer pods for accountability and support.

The program takes approximately 5-10 hours per week, depending on how deeply you want to dive into projects. The flexible structure lets you learn at your own pace while staying connected with your cohort.

No. The program is designed for non-technical women. We welcome all women to apply, especially those with no coding experience.

No. The program is for any woman looking to build AI skills, regardless of industry or role.

AI Access Labs is focused on helping women thrive in an AI-driven economy — because when women succeed in the workplace, we all win. We're intentional about the composition of each cohort, selecting participants through our application process to build a supportive community with diverse skills, industries, and perspectives.

If you aren't selected for the first cohort, it's not a reflection of your potential — it simply means we're balancing the group for the best learning experience. We'll invite you to apply again for the next cohort.

• Tangible Deliverables — You'll walk away with working AI tools you built to address real workplace barriers, a portfolio of projects from each module, demo videos and case studies documenting what you made, and a profile on our public platform showcasing your work.
• Recognition & Credentials — You'll earn badges for each level you complete and gain visibility through posts promoting your work.
• Community & Access — You'll be connected to cohort peers and an alumni network, with ongoing access to beta testing opportunities, early access to new AI tools, sponsored trainings, and hackathons.

↑ Back to "What You'll Learn and Build" section

• Agentic AI — AI that can take actions and make decisions independently. From a technical perspective, this means autonomous AI systems that can plan, execute, and iterate on tasks.
• AI Image Generation — Using AI to create images from descriptions. You type what you want to see, and the AI produces the image — useful for graphics, mockups, or creative projects. From a technical perspective, this means using models like DALL-E, Midjourney, or Stable Diffusion to produce images from text.
• AI Safety & Security — Keeping AI use responsible and protected. From a technical perspective, this means practices for ethical AI use, data privacy, and preventing misuse.
• AI Video Generation — Using AI to create videos from descriptions or images. You describe what you want, and the AI produces video clips — no filming or editing software needed. From a technical perspective, this means using machine learning models to generate or edit video content from text or image prompts.
• API Integration — Connecting different apps so they work together. From a technical perspective, this means using Application Programming Interfaces to enable communication between software systems.
• Chatbot Integration — Adding AI chat to apps or websites. From a technical perspective, this means embedding conversational AI interfaces into existing platforms.
• Custom AI Agents — AI assistants you build for specific tasks. From a technical perspective, this means purpose-built AI systems with defined capabilities and behaviors.
• Custom GPTs — Personalized AI assistants you create for specific tasks. From a technical perspective, this means configured instances of GPT models with custom instructions and capabilities.
• Custom Web Apps — Websites that do more than display information. From a technical perspective, this means interactive web applications built for specific use cases.
• Customer Experience Strategy — Planning how people will interact with your product. From a technical perspective, this means a comprehensive approach to optimizing all customer touchpoints.
• Database-Backed Apps — Apps that store and retrieve information. From a technical perspective, this means applications connected to databases for persistent data storage.
• Design Thinking — A problem-solving approach that starts with understanding people's needs. From a technical perspective, this means a human-centered methodology for innovation and solution development.
• Form-Based AI Tools — AI apps where you fill in fields to get results. From a technical perspective, this means structured interfaces that capture user input and submit it to AI models for processing.
• Human-Centered Design — Designing solutions around real people's needs. From a technical perspective, this means a creative approach that prioritizes user experience throughout development.
• Low-Code Prototypes — Building working demos with minimal coding. From a technical perspective, this means functional models created using visual development platforms.
• MVP Development — Building the simplest version that works. From a technical perspective, this means creating a Minimum Viable Product to test ideas with real users quickly.
• No-Code Solutions — Building apps without writing code. From a technical perspective, this means applications created entirely through visual interfaces and configuration.
• Prompt Engineering — Crafting clear instructions to get useful results from AI. From a technical perspective, this means designing inputs that optimize AI model outputs.
• Serverless Functions — Code that runs without managing servers. From a technical perspective, this means cloud-executed functions that scale automatically and bill per use.
• Spec-Driven Development — Writing clear plans before building. From a technical perspective, this means development guided by detailed specifications documenting requirements and behavior. This differs from "vibe coding" where you improvise as you go — specs ensure you know what you're building before you start.
• User Requirements Gathering — Finding out what people need before building. From a technical perspective, this means documenting functional and non-functional needs through stakeholder interviews and analysis.
• User Research — Learning what people actually need before building. From a technical perspective, this means systematic investigation of user behaviors, needs, and motivations.
• Version Control (Git) — Tracking changes to your work so you can undo mistakes. From a technical perspective, this means a system for recording file changes over time and enabling collaboration.
• Web Deployment — Making your project live on the internet. From a technical perspective, this means publishing applications to web servers for public access.
• Workflow Automations — Setting up tasks to happen automatically. From a technical perspective, this means sequences of automated actions triggered by events or schedules.
• Workflow Design — Planning how tasks should flow. From a technical perspective, this means mapping processes to optimize efficiency and outcomes.

↑ Back to "What You'll Learn and Build" section