IBM Courses

Introduction to Management Consulting

Explore the management consulting profession, mastering MECE frameworks, hypothesis-driven thinking, and structured problem-solving to launch your consulting career with confidence.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

Introduction to Sales: Foundations for Success

Explore the foundations of a sales career with IBM, covering roles, methodologies, CRM tools, AI, and ethics to build a portfolio-ready Sales Career Launch Plan.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

Generative AI: Transform Your Management Consulting

Master generative AI tools like ChatGPT, Claude, and H2O.ai to revolutionize management consulting workflows, accelerate analysis, and create compelling client presentations.

• Coursera
• 15 hours 18 minutes
• Self-Paced
• Paid Course

Hybrid Cloud Capstone Project 

Unlock hybrid cloud expertise by designing enterprise-grade architectures, implementing disaster recovery, and mastering deployment strategies in this hands-on capstone project.

• Coursera
• 10 hours 35 minutes
• Self-Paced
• Paid Course

Designing Hybrid and Multicloud Architectures

Master hybrid and multicloud architecture design with hands-on labs, real-world scenarios, and portfolio projects covering deployment patterns, data governance, and automation.

• Coursera
• 6 hours 7 minutes
• Self-Paced
• Paid Course

Creating iOS Apps Using Swift

Master iOS app development with Swift and SwiftUI, building a real Weather and Places app using MVVM, async/await, SwiftData, MapKit, and Apple Intelligence AI features.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

GenAI for SEO: A Hands-On Playbook

Master AI-powered SEO workflows using ChatGPT, Gemini, and Claude for keyword research, content optimization, and schema markup to boost search performance and productivity.

• Coursera
• 4 hours 27 minutes
• Self-Paced
• Paid Course

Designing Hybrid and Multi-cloud Solutions/Systems 

Explore hybrid and multicloud architecture fundamentals, covering governance, connectivity, security, and automation patterns for enterprise environments spanning multiple providers.

• Coursera
• Self-Paced
• Paid Course

Cloud Operations, Monitoring, Security, and Compliance

Master cloud operations, monitoring, security, and compliance across hybrid environments using SRE principles, IaC automation, and tools like Prometheus and Grafana.

• Coursera
• 12 hours 3 minutes
• Self-Paced
• Paid Course

Hybrid Cloud: Networking, Storage and Data Management

Master advanced hybrid cloud architecture through hands-on networking, storage optimization, and disaster recovery planning across multicloud environments.

• Coursera
• 10 hours 52 minutes
• Self-Paced
• Paid Course

Designing Hybrid and Multicloud Solutions and Systems 

Explore hybrid and multicloud architecture fundamentals, covering governance, connectivity, security, and automation patterns for enterprise environments spanning multiple providers.

• Coursera
• 4 hours 47 minutes
• Self-Paced
• Paid Course

AI-Assisted Code Modernization

Explore AI-assisted legacy code modernization using IBM Bob, mastering the five-stage lifecycle, agentic workflows, and governance practices across Java, Python, JavaScript, .NET, and COBOL codebases.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Data Science Fundamentals with Python and SQL

Comprehensive introduction to data science essentials, covering Python, SQL, statistics, and tools. Hands-on practice with real datasets prepares learners for advanced projects and career opportunities.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Data Analysis and Visualization Foundations

Learn essential data analysis and visualization skills using Excel and Cognos. Gain hands-on practice in data manipulation, creating various chart types, and building interactive dashboards to effectively communicate insights.

• Coursera
• 17 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Applied Data Science

Gain practical data science skills using Python, from analysis to visualization. Learn to solve real-world problems, make data-driven decisions, and tell compelling stories with data.

• Coursera
• 26 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 4 courses