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

Ответственный	Rehaf Foula
Последнее обновление	18.10.2026
Время прохождения	8 часов 6 минут
Участники	1

Курс
Отзывы

1. Advanced AI Landscape

1Уроки - 6 мин
- 1.1 Welcome
  
  Новый
2. Tool Selection Strategy

3Уроки - 18 мин
- 2.1 Define the Use Case
  
  Новый
- 2.2 Compare Tool Capabilities
  
  Новый
- 2.3 Tool Selection Check
  
  Новый
3. Prompt Systems

6Уроки - 36 мин
- 3.1 Engineer Reusable Instructions
  
  Новый
- 3.2 Control Context Windows
  
  Новый
- 3.3 Generate Structured Outputs
  
  Новый
- 3.4 Use Examples Strategically
  
  Новый
- 3.5 Prompt System Build
  
  Новый
- 3.6 Prompt Quality Check
  
  Новый
4. Workflow Orchestration

10Уроки - 1 ч
- 4.1 Model the AI Workflow
  
  Новый
- 4.2 Sequence Tool Calls
  
  Новый
- 4.3 Route Tasks by Capability
  
  Новый
- 4.4 Manage State and Memory
  
  Новый
- 4.5 Design Human Handoffs
  
  Новый
- 4.6 Handle Workflow Failures
  
  Новый
- 4.7 Orchestration Blueprint
  
  Новый
- 4.8 Test the Workflow
  
  Новый
- 4.9 Optimize Workflow Costs
  
  Новый
- 4.10 Orchestration Review
  
  Новый
5. AI Research Systems

10Уроки - 1 ч
- 5.1 Frame Complex Research
  
  Новый
- 5.2 Search Across Sources
  
  Новый
- 5.3 Retrieve Relevant Evidence
  
  Новый
- 5.4 Verify AI Citations
  
  Новый
- 5.5 Synthesize Conflicting Findings
  
  Новый
- 5.6 Build a Research Brief
  
  Новый
- 5.7 Use Multimodal Evidence
  
  Новый
- 5.8 Protect Research Integrity
  
  Новый
- 5.9 Research System Build
  
  Новый
- 5.10 Research Reliability Check
  
  Новый
6. Generative Production

6Уроки - 36 мин
- 6.1 Plan AI-Assisted Production
  
  Новый
- 6.2 Direct Text Generation
  
  Новый
- 6.3 Create Visual Assets
  
  Новый
- 6.4 Production Workflow Check
  
  Новый
- 6.5 Edit for Audience Fit
  
  Новый
- 6.6 Measure Creative Quality
  
  Новый
7. Data and Analysis

9Уроки - 54 мин
- 7.1 Prepare Data for AI
  
  Новый
- 7.2 Choose an Analysis Method
  
  Новый
- 7.3 Explore Data with Models
  
  Новый
- 7.4 Build Analytical Prompts
  
  Новый
- 7.5 Interpret Model Findings
  
  Новый
- 7.6 Check Statistical Reasoning
  
  Новый
- 7.7 Visualize Decision Signals
  
  Новый
- 7.8 Analytical Decision Brief
  
  Новый
- 7.9 Analysis Reliability Check
  
  Новый
8. Agentic AI Systems

10Уроки - 1 ч
- 8.1 Understand Agent Patterns
  
  Новый
- 8.2 Define Agent Boundaries
  
  Новый
- 8.3 Connect External Tools
  
  Новый
- 8.4 Manage Agent Memory
  
  Новый
- 8.5 Design Agent Plans
  
  Новый
- 8.6 Add Approval Gates
  
  Новый
- 8.7 Evaluate Agent Behavior
  
  Новый
- 8.8 Recover from Agent Errors
  
  Новый
- 8.9 Deploy an Agent Prototype
  
  Новый
- 8.10 Agent System Review
  
  Новый
9. Automation and Integration

10Уроки - 1 ч
- 9.1 Identify Automation Leverage
  
  Новый
- 9.2 Map Existing Systems
  
  Новый
- 9.3 Design Trigger Logic
  
  Новый
- 9.4 Transform Data Between Tools
  
  Новый
- 9.5 Automate Repetitive Decisions
  
  Новый
- 9.6 Add Operational Safeguards
  
  Новый
- 9.7 Monitor Automated Runs
  
  Новый
- 9.8 Estimate Automation Value
  
  Новый
- 9.9 Automation Implementation Plan
  
  Новый
- 9.10 Automation Readiness Check
  
  Новый
10. Quality and Reliability

9Уроки - 54 мин
- 10.1 Define Output Quality
  
  Новый
- 10.2 Build Evaluation Datasets
  
  Новый
- 10.3 Test Prompt Variants
  
  Новый
- 10.4 Measure Factual Accuracy
  
  Новый
- 10.5 Assess Bias and Fairness
  
  Новый
- 10.6 Run Adversarial Tests
  
  Новый
- 10.7 Monitor Production Drift
  
  Новый
- 10.8 Create a Quality Dashboard
  
  Новый
- 10.9 Reliability Improvement Plan
  
  Новый
11. Governance and Security

6Уроки - 36 мин
- 11.1 Classify AI Risks
  
  Новый
- 11.2 Protect Sensitive Data
  
  Новый
- 11.3 Defend Against Prompt Attacks
  
  Новый
- 11.4 Assign Human Accountability
  
  Новый
- 11.5 Governance Control Plan
  
  Новый
- 11.6 Governance Knowledge Check
  
  Новый
12. Capstone Implementation

1Уроки - 6 мин
- 12.1 Key Takeaways
  
  Новый