AI Development & Training for the Next Generation of Innovators

 
 

Building expertise in AI, machine learning, generative models, and cloud-based big data analytics.

 
 
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Hands-on Learning

Hands-on Learning

75%+ content focused on labs and for real-world application.

Custom Training

Custom, Modular Training

Customizable learning tailored to all industries and skill levels.

Cutting-Edge AI

Cutting-Edge AI Techniques

State-of-the-art generative and predictive AI solutions.

Cloud & Big Data

Cloud & Big Data Expertise

Develop and deploy AI with AWS and Google Cloud.

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Featured Courses

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Agentic AI / Fraud

Agentic AI with AWS Bedrock Agents and LangChain

This hands-on course empowers you to build sophisticated agents capable of automating complex tasks in areas like customer service, financial analysis, content creation, and supply chain management. Leveraging AWS Bedrock Agents, LangChain, and SageMaker, you'll learn to train and deploy machine learning models, implement contextual data retrieval, and orchestrate seamless workflows. Explore practical applications like case management automation using Kinesis, Athena, and Step Functions. Gain the skills to create AI agents that not only reduce manual effort but also enhance decision-making, driving efficiency and innovation in your field.

SageMaker

AWS SageMaker Workshops: Build and Deploy Real-World Models

Join our intensive 1-day workshops focused on advanced project-based learning with AWS SageMaker AI. Perfect for experienced developers and data scientists, each session is 100% hands-on, ensuring you master practical skills through real-world applications. Currently, we are offering workshops for the following use cases and model types:

  • Fraud Detection with XGBoost, Random-Cut Forest and no-code Fraud Detector
  • Personalized Recommenders with Factorization Machines, NCF and Amazon Personalize
  • Image Classification using MXNet, PyTorch and Amazon Rekognition
  • Time Series Forecasting with DeepAR, Prophet and Amazon Forecast
  • Natural Language Processing (NLP) with BlazingText and Amazon Comprehend

Pre-read materials and curated AWS resources will be provided. Optional foundational courses are available to help you build prerequisite knowledge.

Computer Vision

Practical Computer Vision

Dive into the world of computer vision and learn to build intelligent systems that "see" and interpret images. This hands-on course covers the essential foundations of computer vision, starting with image processing techniques and feature extraction. You'll then progress to building and training powerful deep learning models using PyTorch and TensorFlow. Explore practical applications of these models, including object detection with YOLO, image classification, and semantic segmentation. Gain the skills to develop real-world computer vision solutions for tasks like image analysis, automated inspection, and more. This course emphasizes programmatic solutions, empowering you to implement and customize state-of-the-art algorithms.

Cloud AI & ML

Foundations of Machine Learning and Generative AI

Master the fundamentals of Machine Learning and Generative AI in this hands-on, beginner-friendly course designed for developers, data analysts, and tech enthusiasts looking to break into the world of AI. This course covers essential concepts, algorithms, and techniques to build a solid foundation in supervised and unsupervised learning, along with an introduction to Generative AI models like GANs and Transformers. Through practical labs and real-world examples, you’ll learn how to:

  • Preprocess and explore data for ML models
  • Implement core algorithms such as Linear Regression, Decision Trees, and Clustering
  • Understand Neural Networks and the basics of Deep Learning
  • Build and deploy simple Generative AI models for text and image generation

Our 100% hands-on approach ensures you gain practical experience with industry-standard tools, including Python, TensorFlow, and AWS SageMaker. Pre-read materials and all necessary resources are provided to help you hit the ground running. No prior experience in Machine Learning or AI is required—just a willingness to learn and experiment. Take the first step into the world of AI and build the skills to innovate with confidence.

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Use Cases

Decision Dashboard for Fintech Startup

Financial services companies often struggle with making quick, data-driven decisions due to fragmented information and rapidly changing market conditions. To address this, we built a Decision Dashboard for a Fintech client that provides real-time insights and predictive analytics, helping executives and analysts make informed choices faster.

Powered by AWS Bedrock, this solution uses generative AI to summarize complex financial reports and market news, delivering concise insights directly to decision-makers, and to extract structured features for machine learning models to predict trends and detect anomalies, enabling proactive risk management and strategic investment decisions.

This comprehensive solution not only streamlines decision-making but also enhances regulatory compliance by identifying potential issues before they escalate. With this dashboard, the client gains a competitive edge, driving growth and reducing operational risks in an ever-evolving financial landscape.

Cross-Device Matching Algorithm for Ad-tech

Ad-tech companies face the challenge of delivering consistent ad experiences across multiple devices accessed by the same user. This becomes even more complex when users switch between logged-in and anonymous browsing. To solve this, we developed a Cross-Device Matching Algorithm for an ad-tech client that accurately identifies and links multiple devices belonging to the same user.

Using machine learning, the algorithm learns patterns from browsing behaviors, IP addresses, device and browser IDs, locations, and time of day. It effectively distinguishes between shared devices and individual users, ensuring high accuracy without compromising user privacy. This enables the client to deliver cohesive ad campaigns across mobile, desktop, and other connected devices, maximizing engagement and conversion rates.

Automated Patent Reading Tool for a Semiconductor Research Lab

Scientific researchers need to stay ahead of technological developments, assess prior art, and analyze competitors' innovations. However, patent documents are notoriously long, complex, and written in legal jargon, making manual review time-consuming and inefficient. Our Automated Patent Reading Tool leverages Generative AI to process and summarize patent documents published by the USPTO, European, and other patent offices. This tool creates executive summaries and tabulates technical data in a format tailored for scientific researchers, allowing them to quickly extract relevant technical insights without sifting through legal complexities.

Additionally, the tool evaluates invention ideas, helping researchers determine the feasibility of pursuing new technologies while avoiding intellectual property infringements. It also detects technology trends and can answer strategic questions like, “What has Big Tech Company ABC been developing over the past 5 years?”

Next-Click Recommender

In digital commerce, customers expect seamless and relevant browsing experiences—even when they remain anonymous. However, traditional recommendation engines struggle without past purchase history or user profiles. To address this, we developed a Next-Click Recommender for a photo printing and merchandise ordering platform that predicts what a customer is likely to click on next based purely on their real-time session behavior.

This platform is widely used in on-site self-service devices, where customers browse products such as photo prints, custom gifts, and home décor without logging in. Since there’s no demographic or purchase history data, our machine learning model analyzes click sequences, time spent on pages, product categories viewed, and navigation patterns to make instant recommendations. The system dynamically updates recommendations as the session progresses, surfacing relevant product suggestions that increase engagement and conversion rates.

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