IGBS-SBDG · Professional Course
Advanced AI Tool Mastery
Designed for professionals who already use AI and want to apply advanced tools, workflows, and automation with greater reliability.
8.1 hours
Guided learning
12 modules
Structured curriculum
81 lessons
Online, self-paced
5,000.00 LE
Course fee
About this course
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
Course curriculum
Module 1
1. Advanced AI Landscape
- 1.1 Welcome
Module 2
2. Tool Selection Strategy
- 2.1 Define the Use Case
- 2.2 Compare Tool Capabilities
- 2.3 Tool Selection Check
Module 3
3. Prompt Systems
- 3.1 Engineer Reusable Instructions
- 3.2 Control Context Windows
- 3.3 Generate Structured Outputs
- 3.4 Use Examples Strategically
- 3.5 Prompt System Build
- 3.6 Prompt Quality Check
Module 4
4. Workflow Orchestration
- 4.1 Model the AI Workflow
- 4.2 Sequence Tool Calls
- 4.3 Route Tasks by Capability
- 4.4 Manage State and Memory
- 4.5 Design Human Handoffs
- 4.6 Handle Workflow Failures
- 4.7 Orchestration Blueprint
- 4.8 Test the Workflow
- 4.9 Optimize Workflow Costs
- 4.10 Orchestration Review
Module 5
5. AI Research Systems
- 5.1 Frame Complex Research
- 5.2 Search Across Sources
- 5.3 Retrieve Relevant Evidence
- 5.4 Verify AI Citations
- 5.5 Synthesize Conflicting Findings
- 5.6 Build a Research Brief
- 5.7 Use Multimodal Evidence
- 5.8 Protect Research Integrity
- 5.9 Research System Build
- 5.10 Research Reliability Check
Module 6
6. Generative Production
- 6.1 Plan AI-Assisted Production
- 6.2 Direct Text Generation
- 6.3 Create Visual Assets
- 6.4 Production Workflow Check
- 6.5 Edit for Audience Fit
- 6.6 Measure Creative Quality
Module 7
7. Data and Analysis
- 7.1 Prepare Data for AI
- 7.2 Choose an Analysis Method
- 7.3 Explore Data with Models
- 7.4 Build Analytical Prompts
- 7.5 Interpret Model Findings
- 7.6 Check Statistical Reasoning
- 7.7 Visualize Decision Signals
- 7.8 Analytical Decision Brief
- 7.9 Analysis Reliability Check
Module 8
8. Agentic AI Systems
- 8.1 Understand Agent Patterns
- 8.2 Define Agent Boundaries
- 8.3 Connect External Tools
- 8.4 Manage Agent Memory
- 8.5 Design Agent Plans
- 8.6 Add Approval Gates
- 8.7 Evaluate Agent Behavior
- 8.8 Recover from Agent Errors
- 8.9 Deploy an Agent Prototype
- 8.10 Agent System Review
Module 9
9. Automation and Integration
- 9.1 Identify Automation Leverage
- 9.2 Map Existing Systems
- 9.3 Design Trigger Logic
- 9.4 Transform Data Between Tools
- 9.5 Automate Repetitive Decisions
- 9.6 Add Operational Safeguards
- 9.7 Monitor Automated Runs
- 9.8 Estimate Automation Value
- 9.9 Automation Implementation Plan
- 9.10 Automation Readiness Check
Module 10
10. Quality and Reliability
- 10.1 Define Output Quality
- 10.2 Build Evaluation Datasets
- 10.3 Test Prompt Variants
- 10.4 Measure Factual Accuracy
- 10.5 Assess Bias and Fairness
- 10.6 Run Adversarial Tests
- 10.7 Monitor Production Drift
- 10.8 Create a Quality Dashboard
- 10.9 Reliability Improvement Plan
Module 11
11. Governance and Security
- 11.1 Classify AI Risks
- 11.2 Protect Sensitive Data
- 11.3 Defend Against Prompt Attacks
- 11.4 Assign Human Accountability
- 11.5 Governance Control Plan
- 11.6 Governance Knowledge Check
Module 12
12. Capstone Implementation
- 12.1 Key Takeaways
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