Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise (TTAI2101)

About This Course:

Dive into the dynamic world of Artificial Intelligence (AI) with our one-day course, "Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise." Designed to provide stakeholders with a panoramic yet nuanced view of AI's transformative capabilities, this course serves as both a primer and a catalyst for action. From understanding the pivotal role of data collection and storage, to deciphering the symbiosis between Big Data, Data Science, and AI, we've curated the course to offer you a blend of strategic knowledge and practical skills.

We're not just covering the essentials; this course also empowers you with the capability to make informed decisions on various AI applications. Learn to evaluate cloud-based versus on-premise solutions, understand the key factors in building effective data science and AI teams, and get familiar with essential AI frameworks and tools. Our expert facilitators will also give you an exclusive look into the future of business AI through bonus chapters on Generative AI and emerging trends in data analytics and machine learning. These forward-looking topics will equip you to anticipate and adapt to rapidly changing technologies.

Through engaging lectures, timely demonstrations, and interactive discussions, you'll walk away with a balanced understanding of AI's real-world applications and future potential. Whether you're aiming to enhance existing systems or pioneering new AI initiatives, this comprehensive course ensures that you leave with actionable insights and a roadmap for meaningful change.

Course Objectives:

Working in an interactive learning environment, led by our engaging AI expert, you will:

• Learn which data is most useful to collect now and why it's important to start collecting that data as soon as possible

• Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.

• Understand the factors that go into choosing a data science and AI driven systems including whether to go with a cloud-based solution

• Explore common tools and technologies to aid in making informed decisions

• Gain the skills required to build your data science, AI and machine learning teams

Audience:

This introductory-level course is geared for a mix of business stakeholders who are either directly involved in or impacted by AI-driven initiatives within their organization. This includes C-suite executives, business unit leaders, product managers, and innovation strategists eager to gain a working knowledge of AI's capabilities and applications in a business context. Professionals in roles such as data analysts, IT managers, and project managers who collaborate with data science teams will find this course instrumental in bridging gaps and facilitating effective communication across departments.

Prerequisites:

Although there are no specific pre-requisites to attend this course, it would be helpful to have a basic understanding of business metrics and key performance indicators, elementary data literacy, basic understanding of project management, and general tech savviness.

Next Steps / Follow-on Courses: We offer a wide variety of follow-on courses and learning paths for Generative AI, AI for Business, GPT, Applied AI, Azure OpenAI, Google BARD, AI for developers, testers, data analytics, machine learning, deep learning, programming, intelligent automation and many other related topics. Please see our catalog for the current AI & Machine Learning Courses, Learning Journeys & Skills Roadmaps, list courses and programs.