Smart AI & ML Skills Training 2 Days – Washington, D.C.
Schedule
Thu, 14 May, 2026 at 09:00 am to Mon, 14 Dec, 2026 at 05:00 pm
UTC-07:00Location
For venue information, Please contact us: [email protected] | Washington, D.C, DC
About this Event
Duration: 2 Days (20 Executive Education Credits)
• 16 from live workshops (8 per day)
• 2 from pre-course workbook
• 2 from post-training resource pack
Mode: Instructor-Led Virtual Live Session / In-Person / Corporate In-House
Course Overview
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries worldwide. This 2-day, 16-module intensive program combines AI/ML foundations with Generative AI, Prompt Engineering, automation, ethics, and strategy to provide participants with practical knowledge and tools they can apply immediately.
Why Join This Course?
• Learn AI foundations + Generative AI trends in one compact program.
• Apply AI for automation, decision-making, and ROI.
• Master the essentials of Prompt Engineering for better AI results.
• Access post-training playbook & 30-day AI practice challenge.
• Earn 20 Executive Education Credits with certification.
Learning Objectives
• Understand AI & ML foundations and modern workflows.
• Explore supervised, unsupervised, and reinforcement learning.
• Gain insights into Generative AI (LLMs, ChatGPT, image/video AI).
• Learn the art of Prompt Engineering to optimize outputs.
• Analyze real-world case studies across industries.
• Learn how to measure ROI and prioritize AI adoption.
• Identify ethical challenges and governance needs.
• Recognize AI’s impact on the future of work and leadership.
Target Audience
• Managers & Leaders exploring AI opportunities
• Professionals in Marketing, Finance, HR, Operations
• Entrepreneurs & Startups adopting AI solutions
• Tech enthusiasts seeking a practical foundation
Certification & Credits
• Certificate of Completion
• 20 Self-Certified Executive Education Credits
Trainer Profile
Delivered by AI & ML practitioners with global experience in Generative AI, applied ML, and enterprise adoption strategies. Trainers blend technical expertise with business insights.
Agenda
Training Structure – 16 Modules (2 Days)
Day 1 – Foundations, Data, Supervised Learning & Generative AI
1. Introduction to AI
Info: Learn what AI is, its evolution, and why it matters for today’s businesses. Discover how industries are using AI to transform operations and decision-making.
2. Machine Learning Foundations
Info: Explore how machines learn from data through patterns and algorithms. Understand the difference between ML, AI, and deep learning.
3. Data for AI
Info: Discover the types and sources of data needed for AI systems. Learn how clean, structured data drives better AI outcomes.
4. Supervised Learning I – Regression Models
Info: Understand how regression predicts numerical outcomes (e.g., sales forecasting). Work through practical examples that show business value.
5. Supervised Learning II – Classification Models
Info: Learn how classification helps categorize data (e.g., fraud detection, spam filtering). Explore popular algorithms like decision trees and logistic regression.
6. Hands-On Demo – Predictive Analytics Business Case
Info: Watch how real-world data is used to train and test a simple model. See predictions applied to a practical scenario like customer churn.
7. Generative AI I – Large Language Models (ChatGPT, copilots)
Info: Explore how LLMs generate human-like text and assist in professional tasks. Understand their strengths, limitations, and safe use.
8. Prompt Engineering Basics
Info: Learn how to craft effective prompts to get accurate, useful results from AI tools. Compare weak vs. strong prompts and practice designing your own.
Day 2 – Unsupervised, Reinforcement, Automation, Strategy & Future of Work
9. Unsupervised Learning – Clustering & Applications
Info: Understand how clustering groups data without labels (e.g., customer segmentation). Explore use cases in marketing and healthcare.
10. Reinforcement Learning – Decision Optimization
Info: Learn how AI ‘learns by trial and error’ to maximize rewards. Explore applications like robotics, gaming, and supply chain optimization.
11. Hands-On Demo – Customer Segmentation with Clustering
Info: See a real-world demo of clustering applied to customer data. Understand how businesses use this for targeted campaigns.
12. Generative AI II – Images, Video & Creative AI
Info: Explore how AI generates images, video, and designs (MidJourney, DALL·E). Understand use cases for marketing, design, and innovation.
13. AI + Automation – Process Optimization & RPA Integration
Info: Learn how AI integrates with automation (RPA) to improve efficiency. Explore examples from HR, finance, and operations.
14. AI Strategy & ROI – Prioritizing Projects & Measuring Value
Info: Understand how to identify AI opportunities and measure ROI. Learn frameworks for deciding which AI projects to invest in.
15. Ethics & Governance – Responsible AI Frameworks
Info: Explore challenges like bias, privacy, and accountability in AI. Learn governance models that ensure ethical adoption.
16. Future of Work – Leading in the Age of AI
Info: Understand how AI will impact leadership, jobs, and skills. Learn how to prepare yourself and your organization for the AI-driven workplace.
Pre-Training Workbook (2 Credits)
Info: Self-reflection, readiness quiz, and goal-setting activities.
Post-Training Resource Pack (2 Credits)
Info: • AI & ML Playbook
• 30-Day AI Practice Challenge
• Quick Reference Tools
• Bonus eGuide: AI Trends & Future of Work
Where is it happening?
For venue information, Please contact us: [email protected], Washington, D.C, Washington, D.C, United StatesEvent Location & Nearby Stays:
USD 1319.86 to USD 1429.78
