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
5,000.00 LE
5000.0
EGP
5,000.00 LE
| 担当者 | Rehaf Foula |
|---|---|
| 最終更新 | 2026/10/18 |
| 完了時間 | 8 時間 6 分 |
| メンバー | 1 |
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1. Advanced AI Landscape1レッスン · 6 分
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1.1 Welcome新規
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2. Tool Selection Strategy3レッスン · 18 分
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2.1 Define the Use Case新規
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2.2 Compare Tool Capabilities新規
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2.3 Tool Selection Check新規
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3. Prompt Systems6レッスン · 36 分
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3.1 Engineer Reusable Instructions新規
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3.2 Control Context Windows新規
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3.3 Generate Structured Outputs新規
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3.4 Use Examples Strategically新規
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3.5 Prompt System Build新規
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3.6 Prompt Quality Check新規
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4. Workflow Orchestration10レッスン · 1 時間
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4.1 Model the AI Workflow新規
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4.2 Sequence Tool Calls新規
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4.3 Route Tasks by Capability新規
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4.4 Manage State and Memory新規
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4.5 Design Human Handoffs新規
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4.6 Handle Workflow Failures新規
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4.7 Orchestration Blueprint新規
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4.8 Test the Workflow新規
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4.9 Optimize Workflow Costs新規
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4.10 Orchestration Review新規
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5. AI Research Systems10レッスン · 1 時間
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5.1 Frame Complex Research新規
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5.2 Search Across Sources新規
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5.3 Retrieve Relevant Evidence新規
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5.4 Verify AI Citations新規
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5.5 Synthesize Conflicting Findings新規
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5.6 Build a Research Brief新規
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5.7 Use Multimodal Evidence新規
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5.8 Protect Research Integrity新規
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5.9 Research System Build新規
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5.10 Research Reliability Check新規
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6. Generative Production6レッスン · 36 分
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6.1 Plan AI-Assisted Production新規
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6.2 Direct Text Generation新規
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6.3 Create Visual Assets新規
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6.4 Production Workflow Check新規
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6.5 Edit for Audience Fit新規
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6.6 Measure Creative Quality新規
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7. Data and Analysis9レッスン · 54 分
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7.1 Prepare Data for AI新規
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7.2 Choose an Analysis Method新規
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7.3 Explore Data with Models新規
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7.4 Build Analytical Prompts新規
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7.5 Interpret Model Findings新規
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7.6 Check Statistical Reasoning新規
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7.7 Visualize Decision Signals新規
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7.8 Analytical Decision Brief新規
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7.9 Analysis Reliability Check新規
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8. Agentic AI Systems10レッスン · 1 時間
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8.1 Understand Agent Patterns新規
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8.2 Define Agent Boundaries新規
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8.3 Connect External Tools新規
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8.4 Manage Agent Memory新規
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8.5 Design Agent Plans新規
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8.6 Add Approval Gates新規
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8.7 Evaluate Agent Behavior新規
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8.8 Recover from Agent Errors新規
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8.9 Deploy an Agent Prototype新規
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8.10 Agent System Review新規
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9. Automation and Integration10レッスン · 1 時間
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9.1 Identify Automation Leverage新規
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9.2 Map Existing Systems新規
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9.3 Design Trigger Logic新規
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9.4 Transform Data Between Tools新規
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9.5 Automate Repetitive Decisions新規
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9.6 Add Operational Safeguards新規
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9.7 Monitor Automated Runs新規
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9.8 Estimate Automation Value新規
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9.9 Automation Implementation Plan新規
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9.10 Automation Readiness Check新規
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10. Quality and Reliability9レッスン · 54 分
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10.1 Define Output Quality新規
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10.2 Build Evaluation Datasets新規
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10.3 Test Prompt Variants新規
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10.4 Measure Factual Accuracy新規
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10.5 Assess Bias and Fairness新規
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10.6 Run Adversarial Tests新規
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10.7 Monitor Production Drift新規
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10.8 Create a Quality Dashboard新規
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10.9 Reliability Improvement Plan新規
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11. Governance and Security6レッスン · 36 分
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11.1 Classify AI Risks新規
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11.2 Protect Sensitive Data新規
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11.3 Defend Against Prompt Attacks新規
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11.4 Assign Human Accountability新規
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11.5 Governance Control Plan新規
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11.6 Governance Knowledge Check新規
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12. Capstone Implementation1レッスン · 6 分
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12.1 Key Takeaways新規
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