Artificial Intelligence and Machine Learning
This 8-hour intensive training provides a structured and practical introduction to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP), progressing from foundational concepts to real-world business and industry applications. Participants gain a clear understanding of how AI systems work, where they are applied, and how organizations can strategically adopt AI to create value. The course emphasizes conceptual clarity, applied use cases, and strategic decision-making, making it suitable for professionals who need to understand, evaluate, or work alongside AI systems without requiring advanced programming expertise.
Las Vegas, NV
Oct-30, 2026
Classroom / Virtual Live / In-house
1 Day (8 Hours)
About this course
This 8-hour intensive training provides a structured and practical introduction to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP), progressing from foundational concepts to real-world business and industry applications. Participants gain a clear understanding of how AI systems work, where they are applied, and how organizations can strategically adopt AI to create value. The course emphasizes conceptual clarity, applied use cases, and strategic decision-making, making it suitable for professionals who need to understand, evaluate, or work alongside AI systems without requiring advanced programming expertise.
What you'll learn
- Understand core concepts of AI, ML, Deep Learning, and NLP
- Explore real-world AI applications across multiple industries
- Differentiate between supervised, unsupervised, and reinforcement learning
- Learn how machine learning models are trained and evaluated
- Understand neural networks and deep learning fundamentals
- Explore NLP use cases such as chatbots and language translation
- Identify AI opportunities, risks, and limitations in business
- Support AI strategy and digital transformation initiatives
Course Contents
Module 1: Introduction to Artificial Intelligence
- Evolution and history of Artificial Intelligence
- Types of AI (ANI, AGI, ASI) and capability-based classification
- Importance, trends, and current AI adoption statistics
Module 2: Applications of Artificial Intelligence
- AI applications across industries
- Benefits, challenges, and limitations of AI implementation
- AI-powered tools such as chatbots, recommendation systems, and predictive analytics
Module 3: Core Concepts of Machine Learning
- Supervised, unsupervised, and reinforcement learning
- Key algorithms: regression, classification, clustering, decision trees, random forests
- Machine learning lifecycle: data collection, training, evaluation, and deployment
Module 4: Use Cases of Machine Learning
- Image recognition and computer vision
- Speech recognition and language translation
- Medical diagnosis and predictive analytics
Module 5: Deep Learning in a Nutshell
- Difference between machine learning and deep learning
- Neural networks, activation functions, and loss functions
- Deep learning applications such as fraud detection and market prediction
Module 6: Fundamentals of NLP, NLU, and NLG
- NLP techniques and language processing steps
- Natural Language Understanding vs Natural Language Generation
- Business use cases including chatbots, automated ticketing, translation, and content generation
Module 7: Hybrid Artificial Intelligence & Neural Networks
- Artificial neural networks and backpropagation
- CNNs, RNNs, autoencoders, and hybrid AI models
- Strengths, limitations, and creative applications of hybrid AI
Module 8: Essentials of Successful AI Strategy for Business
- Aligning AI initiatives with business outcomes
- AI readiness assessment and implementation roadmap
- AI job roles, myths, and enterprise AI strategy frameworks
Who Should Attend
- Business professionals and managers
- IT and digital transformation leaders
- Product managers and analysts
- Consultants and strategists
- Students and professionals exploring AI concepts
- Non-technical professionals working with AI teams
Prerequisites
None
Course Materials
Participants will receive a course manual with presentation slides and reference materials.
ICF certified life coach
Maia Tsitskishvili
Clay Artist & ICF certified life coach
Maia is a passionate clay artist and certified mindfulness instructor with over 10 years of experience in therapeutic art practices. Her unique approach combines traditional clay modeling techniques with mindfulness principles, creating transformative experiences for participants of all skill levels.
Having facilitated workshops across the United States, Maia specializes in using art as a tool for personal growth, stress management, and creative awakening. Her warm, encouraging teaching style helps participants feel comfortable exploring their creativity, regardless of previous artistic experience.
Course Price
Need Help?
USA/Canada:
+1 469 666 9332
Australia:
+61 (0) 2 28015 5605
info@mangates.com
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