32
days
04
hours
21
min
45
Sec
AIm High is an online and equity-free program bringing the best of Amazon's Machine Learning and Artificial Intelligence alongside the cloud infrastructure and partners network to support early-stage AI startups with at least one female founder that develop their AI-based projects across Europe, Middle East and Africa.
Access to up to $10k for all participants, $25k for accepted teams & $100k for the graduates!*
*AWS Activate Program rules must applyAccess to FREE credits, valuable discounts & offers from AWS Partners for accepted teams
1:1 meetings with AWS specialists and access to product, regulatory & compliance, security specialists
Fundraising tools & support along with access to wide network of global leading VC funds
Media exposure
Pitching to investors and experts
Access to the best of Amazon's Machine Learning and Artificial Intelligence, as well as its cloud infrastructure and partner network.
Up to 90% off on HubSpot for eligible startup teams
Stripe Credits: €15.000 for all applicants!
For annual Business Plan for up to 25 users with access to unlimited video recordings & more features for all teams!
$50.000 on the Mixpanel Growth Plan for all applicants!
$1000 in FREE credits for all-in-one Notion workspace for all applicants!
Early-stage company
At least 1 female founder
Full-time tech leader
AI-based use case
Innovation
Market size
Session 1 - Opening Session: Meet the startups in the program, hear from a successful female founder about her startup journey.
Session 2 - Product Strategy: PR FAQ methodology to help design your product.
Session 3 - How Startups Leverage the Power of AI/ML: Customer stories, AI product strategy and technical overview of AI services.
Session 4 - AI Services: AutoML in AI services (training a model based on your data).
Session 5 - Data: What is the relevant data for ML/AI models. Public data sources, data preparation, synthetic data, data annotation/labeling.
Session 6 - Part 1: Technical workshop – AutoML: Build your model using SageMaker Canvas. Part 2: Responsible AI - Privacy, Bias and Explainability.
Session 7 - Technical Workshop: Build your own model using Amazon SageMaker.
Session 8 - Advanced Technical Workshop: Experiment management, HPO, model deployment, model monitor, etc.
Session 9 - Startups & Enterprises: How to sell to giant customers?
Session 10 - Webinar: Investor Bias and How to Raise Funding for your AI company?
Session 11 - Clossing session: Startups demo their work.