Key Technologies for Business Specialization

• This beginner-level specialization includes three courses and typically takes about 4 weeks at a pace of 10 hours per week, totaling ~40 hours of learning.
• Multiple sources suggest a range from 2 to 3 months when moving at 2–3 hours per week.
• It’s fully self-paced, allowing you to progress on your own schedule.

• No specialized background or technical knowledge required—designed for absolute beginners.
• Ideal for managers, executives, aspiring professionals, or students preparing for tech-savvy careers.

You’ll explore:

• Cloud Computing: including models like IaaS, PaaS, SaaS; deployment types (public, private, hybrid); and concepts such as DevOps and cloud-native practices.
• Artificial Intelligence (AI): fundamentals of machine learning, deep learning, neural networks, generative AI, and their societal/business impact
• Data Science: role of data science in businesses, responsibilities of data scientists, and how industries use data-driven decision-making.

Hands-on labs include: provisioning cloud storage, building simple computer vision examples, and other practical exercises—even without coding skills.

Strengths:

• Rated 4.8/5 from over 1,600 learners—praised for clarity and relevance.
• Combines conceptual knowledge with actionable, hands-on activities, making tech tangible for business professionals.

Limitations:

• Provides foundational insight—not advanced technical or programming depth.
• One learner remarked that the material felt basic—a good baseline but not deeply specialized.

• Great for non-technical professionals, managers, or students seeking fluency in core business technologies.
• Equips you with business-relevant literacy—cloud, AI, and data fluency are increasingly essential across roles.
• Completing the specialization earns you a shareable IBM certificate for LinkedIn, resumes, or academic portfolios.