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Advanced AI Tool Mastery

Advanced AI Tool Mastery

Designed for professionals who already use AI and want to apply advanced tools, workflows, and automation with greater reliability. By the end, learners will be able to select the right AI tools, design sophisticated prompts and workflows, work with multimodal and data-driven systems, build lightweight automations and agents, and evaluate results safely.

Course Objectives

  • Design multi-step AI workflows that combine models, tools, data, and human review.
  • Select AI tools and model configurations against capability, cost, privacy, and reliability requirements.
  • Create reusable prompts, structured outputs, and evaluation methods for dependable results.
  • Automate operational tasks with appropriate safeguards, monitoring, and escalation paths.
  • Analyze AI outputs for quality, bias, security, and business relevance.
  • Develop and defend an implementation plan for an advanced AI-enabled workflow.

12 sections · 81 lessons · 7h 57m

Open the course on Coursebox

5.000,00 LE
5000.0 EGP 5.000,00 LE
5.000,00 LE
Verantwortlich Rehaf Foula
Letzte Aktualisierung 18.10.2026
Zeitaufwand 8 Stunden 6 Minuten
Mitglieder 1
  • 1. Advanced AI Landscape
    1Lektionen · 6 Min.
    • 1.1 Welcome
      Neu
  • 2. Tool Selection Strategy
    3Lektionen · 18 Min.
    • 2.1 Define the Use Case
      Neu
    • 2.2 Compare Tool Capabilities
      Neu
    • 2.3 Tool Selection Check
      Neu
  • 3. Prompt Systems
    6Lektionen · 36 Min.
    • 3.1 Engineer Reusable Instructions
      Neu
    • 3.2 Control Context Windows
      Neu
    • 3.3 Generate Structured Outputs
      Neu
    • 3.4 Use Examples Strategically
      Neu
    • 3.5 Prompt System Build
      Neu
    • 3.6 Prompt Quality Check
      Neu
  • 4. Workflow Orchestration
    10Lektionen · 1 Std.
    • 4.1 Model the AI Workflow
      Neu
    • 4.2 Sequence Tool Calls
      Neu
    • 4.3 Route Tasks by Capability
      Neu
    • 4.4 Manage State and Memory
      Neu
    • 4.5 Design Human Handoffs
      Neu
    • 4.6 Handle Workflow Failures
      Neu
    • 4.7 Orchestration Blueprint
      Neu
    • 4.8 Test the Workflow
      Neu
    • 4.9 Optimize Workflow Costs
      Neu
    • 4.10 Orchestration Review
      Neu
  • 5. AI Research Systems
    10Lektionen · 1 Std.
    • 5.1 Frame Complex Research
      Neu
    • 5.2 Search Across Sources
      Neu
    • 5.3 Retrieve Relevant Evidence
      Neu
    • 5.4 Verify AI Citations
      Neu
    • 5.5 Synthesize Conflicting Findings
      Neu
    • 5.6 Build a Research Brief
      Neu
    • 5.7 Use Multimodal Evidence
      Neu
    • 5.8 Protect Research Integrity
      Neu
    • 5.9 Research System Build
      Neu
    • 5.10 Research Reliability Check
      Neu
  • 6. Generative Production
    6Lektionen · 36 Min.
    • 6.1 Plan AI-Assisted Production
      Neu
    • 6.2 Direct Text Generation
      Neu
    • 6.3 Create Visual Assets
      Neu
    • 6.4 Production Workflow Check
      Neu
    • 6.5 Edit for Audience Fit
      Neu
    • 6.6 Measure Creative Quality
      Neu
  • 7. Data and Analysis
    9Lektionen · 54 Min.
    • 7.1 Prepare Data for AI
      Neu
    • 7.2 Choose an Analysis Method
      Neu
    • 7.3 Explore Data with Models
      Neu
    • 7.4 Build Analytical Prompts
      Neu
    • 7.5 Interpret Model Findings
      Neu
    • 7.6 Check Statistical Reasoning
      Neu
    • 7.7 Visualize Decision Signals
      Neu
    • 7.8 Analytical Decision Brief
      Neu
    • 7.9 Analysis Reliability Check
      Neu
  • 8. Agentic AI Systems
    10Lektionen · 1 Std.
    • 8.1 Understand Agent Patterns
      Neu
    • 8.2 Define Agent Boundaries
      Neu
    • 8.3 Connect External Tools
      Neu
    • 8.4 Manage Agent Memory
      Neu
    • 8.5 Design Agent Plans
      Neu
    • 8.6 Add Approval Gates
      Neu
    • 8.7 Evaluate Agent Behavior
      Neu
    • 8.8 Recover from Agent Errors
      Neu
    • 8.9 Deploy an Agent Prototype
      Neu
    • 8.10 Agent System Review
      Neu
  • 9. Automation and Integration
    10Lektionen · 1 Std.
    • 9.1 Identify Automation Leverage
      Neu
    • 9.2 Map Existing Systems
      Neu
    • 9.3 Design Trigger Logic
      Neu
    • 9.4 Transform Data Between Tools
      Neu
    • 9.5 Automate Repetitive Decisions
      Neu
    • 9.6 Add Operational Safeguards
      Neu
    • 9.7 Monitor Automated Runs
      Neu
    • 9.8 Estimate Automation Value
      Neu
    • 9.9 Automation Implementation Plan
      Neu
    • 9.10 Automation Readiness Check
      Neu
  • 10. Quality and Reliability
    9Lektionen · 54 Min.
    • 10.1 Define Output Quality
      Neu
    • 10.2 Build Evaluation Datasets
      Neu
    • 10.3 Test Prompt Variants
      Neu
    • 10.4 Measure Factual Accuracy
      Neu
    • 10.5 Assess Bias and Fairness
      Neu
    • 10.6 Run Adversarial Tests
      Neu
    • 10.7 Monitor Production Drift
      Neu
    • 10.8 Create a Quality Dashboard
      Neu
    • 10.9 Reliability Improvement Plan
      Neu
  • 11. Governance and Security
    6Lektionen · 36 Min.
    • 11.1 Classify AI Risks
      Neu
    • 11.2 Protect Sensitive Data
      Neu
    • 11.3 Defend Against Prompt Attacks
      Neu
    • 11.4 Assign Human Accountability
      Neu
    • 11.5 Governance Control Plan
      Neu
    • 11.6 Governance Knowledge Check
      Neu
  • 12. Capstone Implementation
    1Lektionen · 6 Min.
    • 12.1 Key Takeaways
      Neu