Exploring AI & Machine Learning for the Enterprise
Exploring AI & Machine Learning for the Enterprise Overview (with Light Hands-on) is a primer-level, instructor-led course designed to provide a practical first look at artificial intelligence (AI) and machine learning (ML) technologies and how they are applied in modern business environments. The course focuses on helping participants understand what AI is—and is not—while distinguishing between AI, machine learning, deep learning, and emerging technologies such as Large Language Models (LLMs), Generative AI, and GPT.
Through instructor-led discussions, demonstrations, and light hands-on activities, learners explore how AI processes text, images, and audio, and how organizations use these capabilities to improve efficiency, decision-making, and innovation. The course emphasizes business use cases rather than deep mathematics, making advanced concepts accessible to technical and semi-technical professionals.
Participants leave with a conversational-level understanding of AI and ML technologies, prepared to engage in strategic discussions, support AI-driven initiatives, and progress to more advanced AI and machine learning training programs.
- Understand core AI and machine learning concepts and current industry trends
- Differentiate between AI, machine learning, deep learning, and generative AI
- Identify practical business applications of AI and ML across multiple domains
- Gain hands-on exposure to selected AI tools and workflows
- Understand the fundamentals of algorithms, neural networks, NLP, and GPT
- Explain how AI is used to process language, images, video, and audio
- Recognize how organizations leverage AI to improve efficiency and decision-making
- Confidently participate in enterprise-level AI and ML strategy discussions
- Developers aspiring to become data scientists or machine learning engineers
- Analytics managers leading data or analytics teams
- Business analysts seeking to understand data science and AI techniques
- Information architects interested in machine learning algorithms
- Analytics professionals transitioning into AI or ML roles
- Graduates pursuing careers in data science or machine learning
- Experienced professionals looking to apply AI for deeper customer and business insights
- A general grounding in enterprise computing concepts
- Familiarity with enterprise IT and systems architecture
- Awareness of business drivers that benefit from AI adoption