Skip to main content

AWS AI Academy at
LEAP 2026

REGISTRATION FOR THE AWS AI ACADEMY IS NOW CLOSED

 

Powered by Amazon Web Services (AWS) and LEAP

Image
AWS logo in white
Image

AWS AI Training Academy

AWS AI Training Academy delivers foundational learning sessions exploring AWS services, generative AI, and emerging technologies through expert-led instruction and hands-on labs.

AWS Agentic AI Hackathon

AWS Agentic AI Hackathon shifts into action with intensive hands-on challenges where teams apply their knowledge to build real-world AI solutions using AWS tools.

Extended Learning and AWS Certification

Continue your journey beyond the event with curated online learning and certification support, participants that pass the requirements will be eligible for the AWS Certificate.

AWS AI Training Academy

Learn Phase: Building Cloud and AI Skills for the Future

The LEAP Academy delivers a transformative full-day experience designed to accelerate your cloud journey through foundational learning sessions exploring AWS services, generative AI, and emerging technologies. Through a blend of expert-led instruction, hands-on AWS SimuLearn labs, and real-world insights from industry leaders, participants gain practical experience with Amazon Bedrock, Amazon Q, and enterprise AI implementation strategies. The day culminates in an exclusive Expert Spotlight Discussion where seasoned professionals share their current AI implementations and future strategies, offering attendees practical, real-world case studies that demonstrate the transformative potential of strategic AI adoption.

 

Daily Agenda (August 31 & Sept 2)

  • 1:00 PM – 1:15 PM | Event Introduction — Building Cloud and AI Skills for the Future
  • 1:15 PM – 2:00 PM | Introduction to Amazon Bedrock 
    Foundation models, providers, core concepts, and common AI use cases
  • 2:00 PM – 2:45 PM | AWS SimuLearn
    Secure Conversational AI with Guardrails — Explore Amazon Bedrock Guardrails for enterprise AI assistants with hands-on configuration
  • 2:45 PM – 3:30 PM | Networking Lunch Break
  • 3:30 PM – 4:00 PM | Introduction to RAG 
    How retrieval-augmented generation grounds foundation models in your own data
  • 4:00 PM – 5:00 PM | Introduction to Gen AI and Agentic AI 
    Hands-on Amazon Bedrock implementation with step-by-step examples
  • 5:00 PM – 5:30 PM | Kiro session
    Walkthrough a practical example of using kiro to build powered AI applications
  • 5:30 PM – 6:30 PM | Expert Spotlight Discussion hosted by Hussain Al Essa
    Industry experts share real-world AI implementations and future strategies

 

Who Should Attend?

  • Fresh graduates & job seekers with a technical background
  • Industry professionals integrating AI into their workflows
  • IT specialists pursuing AWS AI Practitioner Certification
  • Technology enthusiasts eager to explore generative AI 

No prior AI experience required.

 

What You'll Gain

  • Expert-led training from AWS professionals
  • Hands-on experience with Amazon Bedrock and Amazon Q
  • Real-world insights from industry leaders
  • AWS AI Practitioner Certification voucher opportunity through the extended cohort program
  • Extended learning pathway with curated online resources
AWS Agentic AI Hackathon

Build Phase: A Dynamic Innovation Event 

The AWS Agentic AI Hackathon is a full-day innovation event where teams leverage AWS AI tools to build cutting-edge agentic AI solutions. Participants receive hands-on technical support, access to AWS Workshop Studio environments, and compete for recognition while developing real-world applications across various industry sectors. The day begins with comprehensive orientation and account setup, followed by an intensive 3-hour hacking session where teams develop and implement their solutions. The competition culminates in a rigorous evaluation process where judges from leading AI organizations assess all submissions, select the top 5 teams for final presentations, and recognize winners in a formal award ceremony — providing participants with both technical validation and industry recognition for their innovative work.

Event Schedule (Sept 1 & 3) 

  • 1:00 PM – 1:30 PM | Opening & Welcome — Event kickoff and final briefing
  • 1:30 PM – 2:00 PM | Access & Orientation — Account setup, service access verification, and final Q&A
  • 2:00 PM – 5:00 PM | Hacking Session — Team development and implementation
  • 5:00 PM – 6:00 PM | Evaluation and Final Presentations — Top 5 teams demonstrate their solutions
  • 6:00 PM – 6:30 PM | Award Ceremony — Winner announcement and recognition 

Who Should Participate? 

  • Developers and engineers looking to build with AWS AI services
  • Data scientists and ML practitioners ready to apply their skills
  • Tech entrepreneurs and startup founders exploring AI-powered products
  • Students and fresh graduates eager to showcase their innovation 

What You'll Gain 

  • Hands-on building experience with AWS AI tools
  • Expert mentorship from AWS professionals during the build sprint
  • Access to AWS Workshop Studio environments Evaluation by leading AI industry figures (Names TBA)
  • Recognition and prizes for top teams (TBA)
  • Networking with innovators and tech leaders

Why Attend?

Learn, Build, Certify Framework

Comprehensive journey from foundational learning to hands-on building to recognized certification

Expert-Led Training

Learn directly from AWS professionals

Hands-On Experience 

Build with Amazon Bedrock, Amazon Q, and AWS Workshop Studio

AWS Certification Opportunity 

Earn an AWS AI Practitioner Certification voucher through the extended cohort program

Compete & Innovate

Tackle real-world AI challenges at the Hackathon

Prestigious Judging Panel

Hackathon solutions evaluated by leading AI industry figures

Extended Learning Pathway

Continue your journey beyond the event with curated online learning and certification support

Network 

Connect with 200,000+ tech leaders, investors, and innovators at LEAP 2026

Frequently Asked Questions

General

Is this event free?

Yes, the AWS AI Hackathon is offered at no extra cost to LEAP attendees.

Can I attend both cohorts?

No — each participant registers for and attends one cohort only.

Is there a virtual attendance option?

No, both programs are onsite only to provide the best hands-on experience.

Will I need a laptop?

Yes, please bring your own laptop or tablet.

AWS AI Training Academy

Do I need prior experience?

Participants should have a foundational understanding of AI/ML or software development.

Will I receive a certificate?

Yes, there is a chance to receive a voucher for the AWS AI Practitioner Certification upon completion of the day and extended cohort program requirements.

AWS Agentic AI Hackathon

Do I need prior experience?

Participants should have a foundational understanding of AI/ML or software development.

Can I participate as a team?

Yes. Team size and formation details will be shared upon registration. (TBA)

Who will evaluate the hackathon submissions?

Your solutions will be presented to and evaluated by a distinguished panel of judges from leading organizations in the field of AI. Panelist names and affiliations will be announced closer to the event.

What AWS services will be used?

Participants will have access to AWS Skill Builder, Builders labs and Workshop Studio environments and AWS AI services. Specific challenge themes will be announced closer to the event.

Do I need to be registered for LEAP?

Yes, this is exclusive to LEAP Attendees only - please ensure you are registered to avoid issues entering the venue

Is this a one-day or multi-day program?

This is a one-day program. You register for one cohort (Sept 1 or Sept 3) and attend for the full day.

REGISTER NOW

Card Image

 

AWS AI Training Academy 

Cohort 1 (Aug 31): [Register Now] (Link TBA)

Cohort 2 (Sept 2): [Register Now] (Link TBA) 

 

AWS Agentic AI Hackathon 

Cohort 1 (Sept 1): [Register Now] (Link TBA)

Cohort 2 (Sept 3): [Register Now] (Link TBA) 

 

Spots are limited per cohort. Onsite participation only.

Powered by Amazon Web Services
(AWS) and LEAP

Image
AWS logo in white
Image