Intellectual Point

Artificial Intelligence & Machine Learning Training

Learning Objectives

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AI, ML, Deep Learning and Blockchain

Trending Technologies

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Popular Tools and Skills

Cool AI and Robotics Demos

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Break into AI-Focused Career

Jumpstart Your Career

Course Overview

This training course will introduce you to AI, ML, Deep Learning and Blockchain Concepts.

Do you want to start a career in Artificial Intelligence and Machine Learning, but don’t know where to begin? If so, this training can help by providing an ideal foundational mapping of the career paths and certifications that IT professionals should consider if they’re interested in transitioning to AI and ML.

Artificial intelligence is now being used in an ever-expanding array of products: cars that drive themselves; robots that identify and eradicate weeds; computers able to distinguish dangerous skin cancers from benign moles; and smart locks, thermostats, speakers and digital assistants that are bringing the technology into homes. Machine learning engineers develop devices and software that use predictive technology, such as Apple’s Siri or weather-forecasting apps. They ensure machine learning algorithms have the data that needs to be processed and analyze huge amounts of real-time data to make machine learning models more accurate.

Training program

What we’ll be teaching:
  • Introduction to AI, ML, Deep Learning and Blockchain Concepts
  • Main Drivers for AI Adoption, Supervised/Unsupervised learning & Inference Models State of AI in the Federal Government Today (What is hype and what is real )
  • AI Use Cases in Federal to help with Agency Mission
    • Fraud Detection & Mitigation
    • Geo-spatial Intelligence using Drone and Satellite Imagery Fusion Platform Sustainment
    • Insider Threat Detection and Mitigation
    • Smart Video Analytics
    • Autonomous Sensors and Large Scale Object Detection Predictive Cyber Analytics & Next-Gen Threat Mitigation
    • AI & ML for Healthcare
    • GPU Accelerated HPC Applications
    • Robotic Process Automation
  • Artificial Intelligence (AI) Maturity Model AI Road map to Success
  • 7 Layer Technology Stack for AI Solutions
  • AI/ML HyperCAP 2.0 Solution Stack & AI Ready Bundles from NVIDIA/Dell EMC & Ecosystem Partners for Accelerating AI (Platform Built for AI Applications)
  • What is the potential ROI/ Financial Payback of investment in AI/ ML Projects?
  • How some of the agencies and private organizations are leveraging AI/ ML to reduce costs, improve predictability and improve customer experience?
  • Overcoming the risks and challenges in the adoption of AI/ ML solutions.
  • Best Practices in Protecting Data Security, Ethics and Governance in the AI/ ML projects
  • Importance and Role of Data Scientists in the successful adoption of AI/ ML Projects
  • Leveraging the power of Hybrid Cloud Offerings & Natural Language Processing (NLP) for Accelerating AI/ ML Adoption
  • Getting started with Proof of Concept/ Proof of Value on AI/ ML project
  • How will Intellectual Point enable you to embrace and adopt AI in your agency?

Register For Class

Date

Location

December: 14 - 6:00 PM - 10:00 PM Sterling, VA + Live Virtual Register
February: 2021 - 8 - 6:00 PM - 10:00 PM Sterling, VA + Live Virtual Register
April: 2021 - 19 - 6:00 PM - 10:00 PM Sterling, VA + Live Virtual Register

Download Course PDF

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training

For details, call 704-554-3827

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Call for more details 703-554-3827

About the Instructor:

Prem works as a Chief Executive Officer (CEO) & Founder of Intellectual Point – a Reston VA based professional IT Training, Education & Solutions Provider. He also serves as a Chief Technology Officer (CTO) for Government Acquisitions – an IT Solutions Provider & Trusted Advisor to the Federal Government. His primary responsibilities include defining, developing and delivering professional, hands-on IT Training and Solutions in the areas of Cyber Security, Cloud Computing, Data Center, Networking, Big Data Analytics, Mobility, Internet of Everything and Emerging Technologies.

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