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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
Responsible Rehaf Foula
Last Update 10/18/2026
Completion Time 8 hours 6 minutes
Members 1
  • 1. Advanced AI Landscape
    1Lessons · 6 min
    • 1.1 Welcome
      New
  • 2. Tool Selection Strategy
    3Lessons · 18 min
    • 2.1 Define the Use Case
      New
    • 2.2 Compare Tool Capabilities
      New
    • 2.3 Tool Selection Check
      New
  • 3. Prompt Systems
    6Lessons · 36 min
    • 3.1 Engineer Reusable Instructions
      New
    • 3.2 Control Context Windows
      New
    • 3.3 Generate Structured Outputs
      New
    • 3.4 Use Examples Strategically
      New
    • 3.5 Prompt System Build
      New
    • 3.6 Prompt Quality Check
      New
  • 4. Workflow Orchestration
    10Lessons · 1 hr
    • 4.1 Model the AI Workflow
      New
    • 4.2 Sequence Tool Calls
      New
    • 4.3 Route Tasks by Capability
      New
    • 4.4 Manage State and Memory
      New
    • 4.5 Design Human Handoffs
      New
    • 4.6 Handle Workflow Failures
      New
    • 4.7 Orchestration Blueprint
      New
    • 4.8 Test the Workflow
      New
    • 4.9 Optimize Workflow Costs
      New
    • 4.10 Orchestration Review
      New
  • 5. AI Research Systems
    10Lessons · 1 hr
    • 5.1 Frame Complex Research
      New
    • 5.2 Search Across Sources
      New
    • 5.3 Retrieve Relevant Evidence
      New
    • 5.4 Verify AI Citations
      New
    • 5.5 Synthesize Conflicting Findings
      New
    • 5.6 Build a Research Brief
      New
    • 5.7 Use Multimodal Evidence
      New
    • 5.8 Protect Research Integrity
      New
    • 5.9 Research System Build
      New
    • 5.10 Research Reliability Check
      New
  • 6. Generative Production
    6Lessons · 36 min
    • 6.1 Plan AI-Assisted Production
      New
    • 6.2 Direct Text Generation
      New
    • 6.3 Create Visual Assets
      New
    • 6.4 Production Workflow Check
      New
    • 6.5 Edit for Audience Fit
      New
    • 6.6 Measure Creative Quality
      New
  • 7. Data and Analysis
    9Lessons · 54 min
    • 7.1 Prepare Data for AI
      New
    • 7.2 Choose an Analysis Method
      New
    • 7.3 Explore Data with Models
      New
    • 7.4 Build Analytical Prompts
      New
    • 7.5 Interpret Model Findings
      New
    • 7.6 Check Statistical Reasoning
      New
    • 7.7 Visualize Decision Signals
      New
    • 7.8 Analytical Decision Brief
      New
    • 7.9 Analysis Reliability Check
      New
  • 8. Agentic AI Systems
    10Lessons · 1 hr
    • 8.1 Understand Agent Patterns
      New
    • 8.2 Define Agent Boundaries
      New
    • 8.3 Connect External Tools
      New
    • 8.4 Manage Agent Memory
      New
    • 8.5 Design Agent Plans
      New
    • 8.6 Add Approval Gates
      New
    • 8.7 Evaluate Agent Behavior
      New
    • 8.8 Recover from Agent Errors
      New
    • 8.9 Deploy an Agent Prototype
      New
    • 8.10 Agent System Review
      New
  • 9. Automation and Integration
    10Lessons · 1 hr
    • 9.1 Identify Automation Leverage
      New
    • 9.2 Map Existing Systems
      New
    • 9.3 Design Trigger Logic
      New
    • 9.4 Transform Data Between Tools
      New
    • 9.5 Automate Repetitive Decisions
      New
    • 9.6 Add Operational Safeguards
      New
    • 9.7 Monitor Automated Runs
      New
    • 9.8 Estimate Automation Value
      New
    • 9.9 Automation Implementation Plan
      New
    • 9.10 Automation Readiness Check
      New
  • 10. Quality and Reliability
    9Lessons · 54 min
    • 10.1 Define Output Quality
      New
    • 10.2 Build Evaluation Datasets
      New
    • 10.3 Test Prompt Variants
      New
    • 10.4 Measure Factual Accuracy
      New
    • 10.5 Assess Bias and Fairness
      New
    • 10.6 Run Adversarial Tests
      New
    • 10.7 Monitor Production Drift
      New
    • 10.8 Create a Quality Dashboard
      New
    • 10.9 Reliability Improvement Plan
      New
  • 11. Governance and Security
    6Lessons · 36 min
    • 11.1 Classify AI Risks
      New
    • 11.2 Protect Sensitive Data
      New
    • 11.3 Defend Against Prompt Attacks
      New
    • 11.4 Assign Human Accountability
      New
    • 11.5 Governance Control Plan
      New
    • 11.6 Governance Knowledge Check
      New
  • 12. Capstone Implementation
    1Lessons · 6 min
    • 12.1 Key Takeaways
      New