AWS AI Talent Development
for Higher Education
Programme

Start Date :

Oct 6, 2025

Duration :

9 Weeks

Format :

Self-paced Learning, In-person ILT, and Hands-on Workshop

Venue :

Virtual / AWS Office / AWS appointed venue

Learn. Build. Certify

Accelerate Your Career with Cloud, AI & Generative AI Mastery

The NextGen Cloud Innovators: AI & ML Essentials with AWS is a comprehensive 9-week blended learning experience designed to equip learners with the essential skills in cloud computing, artificial intelligence (AI), machine learning (ML), and generative AI development using AWS technologies.

Guided Learning + Hands-On Projects

This program is structured to guide participants from foundational cloud literacy to Generative AI application development through a combination of self-paced learning, virtual and in-person instructor-led training, and hands-on workshops. Each module ensures learners understand core concepts gain practical experience through simulations, labs, and real-world projects.

You are the Next Certified AI Practitioner

Participants will begin with a strong cloud foundation, advance through the principles of machine learning and natural language processing, and then immerse themselves in the rapidly evolving world of Generative AI. The journey concludes with a workshop where participants will build an research assistant app with Amazon Q for Business followed by an exam-focused preparation, to earn the AWS Certified AI Practitioner (AIF-C01) certification.

Program Schedule

Outcome by End of Week 9

1. Solid foundation in AWS Cloud & AI
2. Hands-on experience with Hands-On-Lab + Research Assistant Application Development with
3. Certification Goal: AWS Certified AI Practitioner (AIF-C01)

Training Investment

Per Pax Courses/Workshops:

Who Should Join?

Software Developer

Data Scientist

Data Analyst

Academician & Researcher

Program Calendar

CohortDate
1st cohort 6 Oct - 5 Dis 2025 [50 pax] 
2nd cohort 27 Oct 2025 - 2 Jan 2026 [50 pax]
3rd cohort 1 Dis 2025 - 13 Feb 2026 [50 pax]  
4th cohort 22 Dis 2025 - 6 March 2026 [50 pax]
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