How to Get a High-Paying Job in AWS AI/ML, GenAI & Agentic AI
Don't miss out on this career-transforming session  •  Limited seats available
100% Free Masterclass

AWS Cloud, AI, ML, Gen AI & Agentic AI

Proven 8-Step Framework To Build a $300K+ AI & Cloud Career
AWS Solutions Architect AI Engineer Machine Learning Engineer Agentic AI Engineer Generative AI Engineer MLOps Engineer AI Solutions Architect Cloud AI Consultant

Discover how AWS Cloud, Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Amazon SageMaker, and AI-powered automation are transforming modern businesses and creating massive opportunities for professionals who want to build high-paying careers in Cloud, AI, ML, Agentic AI, and AI Solution Architecture roles.

⏱️180 MinutesIntensive Learning
💻Live Q&A SessionExpert Instructors Session
Free Webinar
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Don't miss out on this career-transforming session. Limited seats available.
100% free No cost to attend
Introduction

What This Free Class Is About

In this free online class, learn in-demand skills in AWS AI/ML and Generative AI (GenAI). This interactive webinar will guide you through the essential tools and services needed to secure high-paying jobs in the AI/ML industry. You'll experience live demos on AWS Rekognition and AWS Bedrock, and get a step-by-step roadmap using the proven 8-step framework to land certified jobs in AI. Whether you're exploring AI/ML roles or looking to enhance your skills, this free masterclass is the perfect starting point to accelerate your career!

🎯 Why You Should Join
  • 100% Free session designed for beginners and professionals alike.
  • Learn directly from a leader in the AI/ML and Cloud fields.
  • Real-world live demos with AWS services like AWS Rekognition and AWS Bedrock.
  • Job-oriented masterclass with insights on how to land a high-paying job in the AI/ML industry.
  • Exclusive Q&A to clear your doubts about the AI/ML career path, certifications, and interview preparation.
Curriculum

What You Will Learn in This FREE Class

1
AWS Cloud, AI/ML & Agentic AI Career Opportunities
  • Why AWS Cloud is the foundation for modern applications and digital transformation
  • How AI, Machine Learning, Generative AI and Agentic AI are changing business
  • High-growth roles: Cloud Architect, AI Engineer, ML Engineer, MLOps & AI Architect
2
Build Strong Foundations in AI, ML & Agentic AI
  • Understand AI, Machine Learning, Generative AI and Agentic AI concepts clearly
  • Learn supervised, unsupervised and reinforcement learning fundamentals
  • Master the ML lifecycle from data collection to production deployment
3
Data Engineering & Machine Learning on AWS
  • Learn data ingestion, ETL pipelines, feature engineering and data preparation
  • Explore AWS Glue, Amazon Athena, Amazon Kinesis, AWS DataBrew and SageMaker
  • Understand model training, validation, tuning and optimization techniques
4
Deploy Production-Ready AI & ML Solutions
  • Learn real-time inference, batch prediction, model serving and monitoring
  • Understand MLOps, AI operations, governance and lifecycle management
  • Build production-ready AI architectures used in enterprise cloud environments
5
Agentic AI, Automation & Responsible AI
  • Understand how AI agents reason, plan, decide and automate complex workflows
  • Explore real-world use cases in support, operations, analytics and development
  • Learn security, governance, privacy and responsible AI best practices on AWS
📘 Hands-On Takeaways from the Live Session
  • Introduction to AI, ML, Deep Learning, and Generative AI concepts and their relevance in today's tech landscape.
  • Hands-on experience with AWS Rekognition for deep learning tasks.
  • How to leverage AWS Bedrock to build and deploy Generative AI applications.
  • Key techniques for Prompt Engineering that can enhance your AI models.
  • An actionable roadmap based on the 8-step framework to master AI/ML and secure high-paying jobs in AI/ML roles.
Enrollment Criteria

Who Should Join This Masterclass?

Cloud Engineers and professionals looking to pivot into AWS Generative AI roles.
Aspiring AI Engineers, Data Scientists, or Machine Learning Specialists.
Tech enthusiasts interested in understanding how AWS AI/ML can power AI-driven solutions.
Students, fresh graduates, or professionals seeking to learn AI/ML skills to boost their careers.
Insights from Our Achievers

Real Transitions. Real Offers.

Public reviews, real names — professionals who used this same framework to land AWS Cloud, AI/ML & DevOps roles.

“I wanted to let you know that I have secured a job as Sr. IT Operations Engineer in Dubai... I want to express my gratitude to all the team for the hard work and making us future ready. I have improved on my skills and still like to keep my hands on and complete my AZ305.”
A
Asma
Sr. IT Operations Engineer, Dubai — AZ305 in progress
✓ Verified WhatsApp testimonial
“I have been a member of K21 Academy for about 4 years... I have taken many courses including Kubernetes, OpenShift Solution Architect, AWS Cloud, Azure, AI, ML, & GenAI. From no background whatsoever in IT, I have evolved landing jobs as an OpenShift Architect, DevOps Engineer, and recently as an Automation/DevOps Engineer with Bank of America.”
SA
Stephen Agbor
OpenShift Architect → DevOps Engineer, Bank of America
✓ Verified Google review
“After moving to the UK, I faced a major challenge... Several attempts failed until I connected with Atul at K21 Academy... Since then, I have advanced as a global thought leader, supporting cloud-related project stacks with the World Bank and universities in the UK and Africa.”
Kennedy Chinedu Okafor
Kennedy Chinedu Okafor
Job Offer: Senior Technical Advisor
✓ Verified review
SteveSteve — AI Engineer SJ — Salary doubled, husband hired too DebashishDebashish — AI Engineer (Cloud) Shouvik — Senior Enterprise Architect Devesh — Solutions Architect Dinesh — Tech Program Manager GopinathGopinath — Cloud Architect Amol — Senior System Engineer Srikar — AWS Architect Zeel — Software Test Engineer AartiAarti — Informatica & AWS Developer Bezzel — Cloud Ops Engineer NarasimhamNarasimham — Platform Engineer Etta David — DevOps role, under 2 months Osaghae EdoborOsaghae Edobor — Azure Cloud Engineer Winifred — Job offer in Canada Tolu DaramolaTolu Daramola — No IT background → 2 job offers Bibhu Datta — Says the price was worth it Haridoss AnnaviHaridoss — K21 Academy learner Rich TylkaRich Tylka — K21 Academy learner Antony SanthanamAntony Santhanam — K21 Academy learner

...and hundreds more across every K21 program — see k21academy.com/reviews

100% Free, No Cost to Attend

We're offering you an incredible opportunity to learn from experts and start your journey toward becoming an AWS-certified AI/ML professional, without any upfront costs. Don't miss out on this career-transforming session.

Your Instructor

24+ years of experience, 45,000+ trainees

Atul Kumar
Atul Kumar
AI, Data & Cloud Expert · Founder, K21 Academy

I started my IT career in 2000 as an Oracle DBA/Apps DBA. The first few years were tough (under $100/month), with very little growth.

In 2004, I moved to the UK. After working really hard, I landed a job that paid me £2,700 per month.

In February 2005, I saw a job that was £450 per day — nearly 4 times my then salary. So I looked at training from Oracle for 5 days. By that November, I'd successfully transitioned to Oracle Security & IAM, and my career took off.

Around 2012–13, Cloud, DevOps & Cloud Automation were gaining popularity, with many job opportunities in these fields. So I decided to make a change and transitioned from working on-premises (Security, Infrastructure & Databases) to focusing on Cloud & DevOps.

Learning Cloud & DevOps gave me the opportunity to work with some of the world's largest and most prestigious clients. I then used the same roadmap with 45,000+ individuals — like you — to help them get their dream jobs.

If they can do it, you can do it too!

Have Questions?

FAQs — Frequently Asked Questions

Is the Webinar free?

Yes, the Webinar is completely free to attend.

What are the prerequisites for attending this webinar?

There is no prerequisite to attend this webinar. However, a basic understanding of machine learning concepts and tools would be helpful, but not mandatory. The session is designed for both beginners and professionals.

How long is the webinar?

The webinar will last for approximately 2 hours, including an interactive Q&A session.

Will I receive any certification for attending this webinar?

Currently, no certification is provided for attending the webinar.

Do I need any specific tools or software for the session?

No specific tools or software are required.

Can I ask questions during the session?

Yes, the session includes an interactive Q&A, and you can ask questions throughout the webinar.

Ready to build your $300K+ AWS AI/ML career?

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