Transform your career with AWS AI, ML & GenAI! Gain the skills to land a high-paying job and earn 4 AWS AIML certifications.
Intensive Training
Expert Instructors
Placement Support
Earn 4 AWS Certifications
Looking to upgrade their skills and transition into roles like AI Engineers, Data Scientists, and Machine Learning Specialists.
Who wants to build, deploy, and scale applications using AWS AI services and ML
Who wants to start a career in AWS with globally recognized certifications
Looking to upskill and enter the AWS & AIML field.
Fresh graduates eager to build a solid career in AWS & AIML
who want to upgrade their skills in AWS AI, ML, and GenAI.
Gain valuable credentials like AWS Cloud Practitioner, AWS AI Practitioner, AWS Machine Learning Engineer Associate, and AWS Machine Learning Specialty to boost your career prospects.
Get practical experience with real-world projects using AWS tools like SageMaker, Rekognition, Polly, and Bedrock—skills that are highly valued by employers and recruiters when showcased on your resume.
Build a portfolio of projects, such as Predicting University Admissions and AI Stylist, that you can showcase in interviews.
Learn the essential skills needed for roles like AI Engineer, ML Engineer, and Data Scientist, with a focus on cloud technologies and AI/ML frameworks.
Receive guidance on resume building, interview preparation, and job search strategies to help you secure high-paying roles.
No risk involved! If you're not satisfied or don't get the desired results, we offer a full money-back guarantee within 6 months, see T&C.
Get lifetime access to course materials, updates, and ongoing support, ensuring you're always up-to-date with the latest in AI/ML.
Learn from experienced instructors
With the skills and certifications gained from this program, you’ll be positioned to land higher-paying jobs in the growing AI/ML field.
This project aims to predict the likelihood of university admission using machine learning. Designed for beginners, it introduces automated ML capabilities with AWS SageMaker Autopilot, guiding you through data preprocessing, automated model training, and deployment. You will learn how SageMaker simplifies the ML workflow, enabling you to build effective predictive models with minimal coding.
This project guides you in building a Retrieval-Augmented Generation (RAG) assistant leveraging AWS Bedrock and Foundation Models. You will learn how to combine external knowledge retrieval with generative AI to create intelligent assistants that provide accurate and context-aware responses.
This project implements a real-time data processing pipeline for stock market data using AWS services. You will learn to ingest streaming data, process it, and apply ML models for timely stock trend analysis and prediction, highlighting practical real-time analytics solutions on AWS
This project demonstrates how to design and deploy a full machine learning pipeline using SageMaker. From data ingestion and preprocessing to model training, hyperparameter tuning, deployment, and monitoring, you will gain hands-on experience automating ML workflows for scalable production environments.
Use AWS SageMaker to build a classification model that helps businesses identify customers likely to churn. You’ll gain hands-on skills in feature engineering, model training, evaluation, and deploying solutions with real business impact.
This project explores building an AI agent using Amazon Bedrock’s Foundation Models to analyze cryptocurrency market data. It covers data ingestion, model customization, and deploying intelligent agents capable of providing market insights and predictions, demonstrating the power of GenAI in financial technology.
This project covers training and deploying deep learning models for semantic segmentation tasks using AWS SageMaker. You will learn how to label images, build models that classify each pixel in an image, and deploy solutions for computer vision applications like medical imaging or autonomous driving.
Focusing on MLOps best practices, this project teaches how to automate machine learning workflows using SageMaker Pipelines and AWS Step Functions. You will build CI/CD pipelines that enable continuous integration, testing, and deployment of ML models for efficient lifecycle management.
Leverage SageMaker Canvas, AWS's no-code platform, to predict the likelihood of heart disease. Perfect for non-coders, this project teaches you how to upload data, train models, and make predictions—all without writing a line of code.
This project gives you a complete view of how to design and implement an end-to-end data strategy on AWS by integrating key services like S3, Glue, Redshift, SageMaker, and Bedrock. You’ll learn how to efficiently ingest, store, process, and analyze data while incorporating AI/ML services to unlock real-time insights and automation. Perfect for learners aiming to build scalable, intelligent data pipelines, this project bridges the gap between data engineering and AI-powered solutions using real business use cases.
You don’t need to be an expert, but having a basic understanding of computing concepts will help.
Enthusiasm to explore AWS services.
Willingness to learn new tools and technologies for career growth.
Ability to think critically and creatively in the cloud environment.
Python or any scripting language is beneficial but not required.
Earn globally recognized AWS certifications (CLF-C01, AIF-C01, MLS-C01) that prove your skills and open doors to high-paying roles.
Practice on 100+ labs and real-world projects using AWS AI/ ML services & Tools
Get personalized help with resumes, mock interviews, and job strategies designed to fast-track your career.
Position yourself for promotions, career transitions, and top salaries with in-demand AI/ML in AWS expertise.
Learn at your own pace with full access to training materials, labs, and recordings
Focus on practical training with 100+ labs and projects—no boring theory.
Clear your doubts quickly via WhatsApp, Community, Ticketing System, or during live Q&A sessions.
Learn directly from experts, ask questions, and stay on track with your learning.
Our structured path, designed by Atul (with 20+ years of IT experience), takes you from beginner to certified professional.
Even after landing a job, continue receiving mentorship and support for real-world project success.
Enjoy 1-year unlimited access to training materials, labs, and recordings. Learn at your own pace and revisit topics whenever needed.
Join 45,000+ learners worldwide who have upskilled, transformed their careers, and landed high-paying roles. Learn from their success stories—and start creating your own.
Trusted by thousands of satisfied trainees across multiple platforms
The program is designed to be completed in 6-8 months, depending on your pace.
You will earn 4 AWS Certifications:
These certifications will help you showcase your expertise and boost your career prospects in the AI/ML field.
Absolutely! This program is designed for beginners. No prior AI, ML, or cloud experience is required. We start with the basics and provide all the support you need to succeed, making it perfect for those new to the field.
After completing the program, you can apply for various high-demand roles, including:
This program equips you with the skills to pursue a wide range of positions in the fast-growing AI/ML industry.
Yes, we offer a 6-month money-back guarantee. If you’re not satisfied, we’ll refund your payment, see T&C.
We offer both live sessions and recorded content. You can learn at your own pace with our self learning portal & recordings.
Yes! The program is tailored for beginners, and we walk you through the entire learning journey.
You’ll receive expert support, including:
You’ll have access to recorded sessions for 1 year, so you can catch up anytime.
Yes, we offer flexible payment plans to suit your budget.
Yes, we provide exam preparation support to help you pass your AWS AIML certification exams.
While we can’t guarantee a job, we provide job placement support, including interview prep, CV assistance, and job application guidance to help you succeed in the job market.
When you join the K21Academy, you are fully protected by our 100% Money back guarantee.
We strive to provide the best training programs, but if you don’t get the desired results even after following every step of our learning style, you can claim your money back! 100% money-back guarantee covers the price of online training.
You have 6 Months from the date of the original purchase, to claim a refund. All you will be required to do is, show us the proof that you took action and attended sessions, completing the hands-on labs, Projects & applying to at least 50 jobs & get CV Reviewed (share proof) & you feel that the program is not worth the money you invested, you will receive a full refund.
I started my IT career in 2000 as an Oracle DBA/Apps DBA. The first few years were tough (<$100/month), with very little growth.
In 2004, I moved to the UK. After working really hard, I landed a job that paid me £2700 per month.
In February 2005, I saw a job that was £450 per day, which was nearly 4 times of my then salary.
So I looked at training from Oracle for 5 days. In November, I successfully transitioned to Oracle Security & IAM, and my career took off.
Around 2012–13, Cloud, DevOps & Cloud Automation were gaining popularity & there were many job opportunities in these fields.
So, I decided to make a change in my career path, and I transitioned from working on 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!
