Coursera
2865 Kurse
Machine Learning for Cyber Threat & Anomaly Detection
Master ML techniques for cyber threat detection—build models to identify malware, detect fraud, and analyze network traffic using KNN, SVM, and neural networks on real cybersecurity datasets.
AI-Enhanced Prospecting and Sales Techniques
Master AI-enhanced prospecting and sales techniques using Microsoft Copilot, CRM insights, and prompt engineering to generate leads, personalize communication, and build strategic engagement plans.
Automate Monthly Reports with Copilot in Excel
Master Microsoft Copilot in Excel to automate monthly reports, build dynamic formatting, and create reusable Prompt Playbooks—saving hours of manual spreadsheet work.
Advanced Data Analysis & Visualization with Copilot in Excel
Master advanced data analysis in Excel using Copilot to explore datasets, create PivotCharts, integrate external sources, and generate insightful reports for data-driven decision-making.
Copilot for Sales
Master Microsoft Copilot for Sales to boost productivity, streamline communication, and enhance customer engagement using AI-powered tools integrated with Teams, Dynamics 365, Excel, and PowerPoint.
Claude AI for Marketing
Master AI-driven marketing with Claude by building sophisticated strategies, crafting high-conversion copy, automating campaigns, and maintaining brand integrity through a human-in-the-loop framework.
State of the global industry (fans, revenue, technology)
Explore the global sports industry's transformation through fan behavior, evolving revenue models, and technology's role in reshaping performance and engagement strategies.
Explainable AI for Everyone
Master Explainable AI by interpreting black-box models, applying LIME, SHAP, PDP, and ICE techniques, evaluating fairness, detecting bias, and communicating insights to technical and non-technical stakeholders.
Explainability Methods & Evaluation
Master advanced Explainable AI techniques, from Shapley values and SHAP methods to counterfactuals, evaluating explanation fidelity, faithfulness, and robustness for trustworthy ML models.
Responsible AI for Everyone
Explore the foundations of Responsible AI, covering fairness, bias, transparency, accountability, and risk management to design and govern trustworthy AI systems in real-world applications.
Getting It Done with AI: AI Essentials
Master practical AI skills for professionals—craft effective prompts, interact with ChatGPT, manage hallucinations, and boost productivity without any programming background.
Generative AI in Action: Workplace Transformation
Explore how generative AI transforms business operations through hands-on projects, culminating in an AI-Driven Business Optimization Proposal covering data analysis, collaboration, resource planning, and risk mitigation.