Home Cognilytica AI & ML Training & Certification Procuring AI & ML Projects / AI for Acquisitions Professionals Training & Certification

Procuring AI & ML Projects / AI for Acquisitions Professionals Training & Certification

by rschmelzer
Procuring AI & ML Projects / AI for Acquisitions Professionals Training & Certification

Training & Certification for Acquisitions Professionals focused on the the Procurement of AI, Machine Learning, and Cognitive Technology Solutions

The Leading Vendor Independent, AI & ML Focused Training for Procurement & Acquisitions

  • Want to learn everything there is to know about procuring AI & ML projects?
  • Want to learn how to apply existing procurement practices, policies, and procedures to the specific, practical, real-world applications of AI and ML for agency and department missions and objectives?

This is the training & certification for you!

Based on the proven CPMAI methodology and the Seven Patterns of AI, in this three-day, on-site, hands-on, procurement-focused course, government procurement professionals will learn how to apply problem-solution fit, market research activities and procedures, contract vehicle and pricing methods, vendor landscape, expectations for market pricing, commercial-off-the-shelf (COTS), and government-off-the-shelf (GOTS) solutions, evaluating vendor and contractor performance in AI projects, and additional details to make AI and ML project procurement a success. United States Federal Government agency procurement professionals can earn 24 CLPs for successful completion of this course, which grants a certificate.

Cognilytica’s Procuring AI & ML Projects Training & Certification has no prerequisites, and is designed for acquisitions professionals tasked with procuring AI & ML projects appropriate for people with different roles and levels of expertise. This course is valuable for anyone who wants in-depth knowledge about how to successfully procure and manage AI & ML acquisitions.

What makes the Cognilytica Procuring AI & ML Training so special?

  • Vendor independent
  • Acquisitions professional focused (Federal Government acquisition roles: 1102, 1101, 343, 301, Contracting Officer Representative (COR))
  • Updated frequently
  • AI & ML Acquisitions Focused
  • Provides the agency context
  • Offers detailed case studies
  • Led by AI & ML thought leaders
  • Provides direct guidance on market research, pricing, vendor identification
  • Includes certification

Offered as in-person (on-site and open enrollment) training.

Highlights of Cognilytica Procuring AI & ML Training & Certification

Foundations of AI

  • The Promise of AI
  • Why does AI matter
  • AI Reality vs. AI Myth
  • The AI-Enabled Vision of the Future
  • The Core Aspects of Intelligence
  • AI Terminology & Definitions
  • The Seven Patterns of AI

Procuring Process Automation & Autonomous Systems

  • The power of intelligent process
  • Robotic Process Automation (RPA) and Cognitive Automation
  • The move to Autonomous Business Process
  • Market research steps for Cognitive Automation projects
  • Procuring autonomous projects
  • Market research & vendor landscape for cognitive automation
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Procuring Chatbots, Natural Language & Conversational  Systems

  • Natural Language Processing & Understanding
  • Chatbots
  • Conversational agents
  • Market research steps for conversational projects
  • Procuring conversational projects
  • Market research & vendor landscape for conversational systems
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Procuring Recognition & Computer Vision Systems

  • Getting machines to understand the world
  • Computer Vision
  • Image, Facial, Handwriting, Audio, Gesture Recognition
  • Handling unstructured data
  • Procuring conversational projects
  • Market research & vendor landscape for conversational systems
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Procuring Pattern & Anomaly Systems

  • Machines are really good at pattern detection
  • Identifying good patterns
  • Identifying bad patterns
  • Fraud & Risk analysis
  • Clustering
  • Unsupervised learning
  • Market research steps for pattern & anomaly proj.
  • Procuring pattern & anomaly projects
  • Market research & vendor landscape for pattern & anomaly systems
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Procuring Predictive Analytics Solutions

  • Descriptive Analytics
  • Predictive Analytics
  • Projective & Proscriptive Analytics
  • Formulaic predictive analytics vs. intelligent predictive analytics
  • Decision support systems
  • Market research steps for predictive analytics
  • Procuring predictive analytics projects
  • Market research & vendor landscape for predictive analytics
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

 

Procuring Hyper-personalization Systems

  • Building the individual profile
  • Personalization and recommendation systems
  • Machine learning and personalization
  • Unsupervised learning and recommendation
  • All about Hyperpersonalization
  • Market research steps for conversational projects
  • Procuring hyperpersonalization projects
  • Market research & vendor landscape for hyperpersonalization systems
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Procuring Goal-Driven Systems

  • Machines solving puzzles & games
  • Goal-driven Systems
  • Reinforcement learning
  • Simulation systems
  • Operational optimization
  • Market research steps for goal-driven systems projects
  • Procuring goal-driven systems projects
  • Market research & vendor landscape for goal-driven systems
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance

Ensuring Responsible AI Systems

  • Keeping the human in the loop
  • Addressing fears and concerns about AI
  • Transparent & explainable AI (XAI)
  • Emerging laws and regulations
  • Addressing issues of bias and human induced error

How Does Cognilytica Compare?

Cognilytica

Code AcademiesVendor Training
Procuring AI & ML Course Price
(US Events, per person, group enrollment discounts offered)

$2495

$$$

???

Certification & Exam Cost

Included

Extra

Vendor-Independent

???

Acquisition Focused

Developer FocusedMarketing Focused
Certification Granted in Course

Content Updated

Multiple times a year

1-2 times a year???
Taught by Recognized Experts

Hired instructorsTaught by Marketing or Product People

Interesting in enrolling? Contact us!

We offer our Procuring AI & ML Training & Certification in the following ways

Procuring AI & ML Agenda v1.1

Module 1: Foundations of AI
  • The Promise of AI
  • Why does AI matter
  • AI Reality vs. AI Myth
  • A Brief history of AI
  • Why is AI a “thing” now?
  • Definitions of AI
  • Narrow vs. Strong AI
  • The Core Aspects of Intelligence
  • Machine Learning and Cognitive Technologies
  • Deep Learning: A Revolution in Neural Networks
  • Augmented Intelligence
  • Cognilytica’s AI-Enabled Vision of the Future
  • The DIKUW Pyramid (AI is Based on Data)
  • The Seven Patterns of AI
  • Realizing the Promise of AI
  • Group Discussion & Exercises

 

Module 2: Procuring Process Automation & Autonomous Systems
  • The power of intelligent process
  • Evolution of Process and Workflow Automation
  • Robotic Process Automation (RPA)
  • Cognitive Automation: the next step
  • The move to Autonomous Business Process
  • Use Cases & Case Studies in Cognitive Automation
  • Market research steps for Cognitive Automation projects
  • Existing state of RPA market
  • Who’s really innovating in cognitive automation?
  • Service vs. License revenue considerations
  • Vendor landscape for cognitive automation
  • Existing contract vehicles and IGCE
  • Evaluating vendor performance
  • Group Discussion & Exercises

 

Module 3: Procuring Chatbots, Natural Language & Conversational  Systems
  • Natural Language Processing & Understanding
  • Chatbots
  • Conversational agents
  • Voice assistants
  • Content generation
  • Content & document intelligence
  • Use Cases & Case Studies in Conversation
  • Market research steps for conversational projects
  • Procuring conversational projects
  • Market research & vendor landscape for conversational systems
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 4: Procuring Recognition & Computer Vision Systems
  • Getting machines to understand the world
  • Computer Vision
  • Image Recognition
  • Facial Recognition
  • Handwriting Recognition
  • Gesture Detection
  • Audio Recognition
  • Handling unstructured data
  • Use Cases & Case Studies in Recognition
 

  • Market research steps for recognition and computer vision projects
  • Procuring recognition projects
  • Market research & vendor landscape for recognition systems
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 5: Procuring Pattern & Anomaly Systems
  • Machines are really good at pattern detection
  • Identifying good patterns
  • Identifying bad patterns
  • Fraud & Risk analysis
  • Clustering
  • Unsupervised learning
  • Use Cases & Case Studies in Pattern & Anomaly detection
  • Market research steps for pattern & anomaly projects
  • Procuring recognition projects
  • Market research & vendor landscape for pattern systems
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 6: Procuring Predictive Analytics & Decision Support Solutions
  • Descriptive Analytics
  • Predictive Analytics
  • Projective & Proscriptive Analytics
  • Formulaic predictive analytics vs. intelligent predictive analytics
  • Decision support systems
  • Use Cases & Case Studies in Predictive Analytics
  • Market research steps for predictive analytics projects
  • Procuring predictive analytics projects
  • Market research & vendor landscape for predictive analytics
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 7: Procuring Hyperpersonalization Systems
  • Building the individual profile
  • Personalization and recommendation systems
  • Machine learning and personalization
  • Unsupervised learning and recommendation
  • All about Hyperpersonalization
  • Creating better end user experiences
  • Use Cases & Case Studies in Hyperpersonalization
  • Market research steps for hyperpersonalization projects
  • Procuring hyperpersonalization projects
  • Market research & vendor landscape for hyperpersonalization
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 8: Goal-Driven Systems
  • Machines solving puzzles & games
  • AlphaGo / AlphaZero
  • Goal-driven Systems
  • Reinforcement learning
  • Simulation systems
  • Operational optimization
  • Real-world games
  • Use Cases & Case Studies in goal-driven systems
  • Market research steps for goal-driven systems projects
  • Procuring goal-driven systems projects
  • Market research & vendor landscape for goal-driven systems
  • Existing contract vehicles and IGCE
  • Evaluating contractor performance
  • Group Discussion & Exercises

 

Module 9: Responsible and Ethical AI
  • For AI to have Lasting Positive Impact it Must be Done Responsibly
  • Transformative technologies are disruptive.
  • Tackling Fears of AI
  • Tackling Real Concerns about AI
  • AI is not a Job Killer, but it is a Job Category Killer
  • Automation & The Amazon Paradox
  • Making AI Transparent & Explainable
  • Detecting Informational Bias in Datasets
  • AI Introduces new Threat Vectors: Malicious AI
  • AI Can Make the Fake Seem Real… and the reverse
  • The “Uncanny Valley”
  • Privacy in an Era of AI-Enhanced Big Data
  • Pervasive surveillance
 

  • The rise of Adversarial attacks on Computer Vision systems
  • Concerns over Artificial General Intelligence (AGI)
  • The “Singularity”
  • Resolving these Issues: Keep Humans in the Loop
  • The Future or Dystopia?
  • AI Laws & Regulations
  • Organizational AI Ethics & Governance
  • Resolving these Issues: Provide Transparency
  • GDPR and AI Transparency
  • Resolving these Issues: Prioritize Fairness and Dignity
  • The Limits of Current Cognitive Tech
  • Group Discussion & Exercises

Offered as both Open Enrollment at our Training Locations, or as private, on-site training for groups of 20 or more!

Interested in on-site training? Contact us!

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