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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Understanding enterprise AI agents and their value proposition
- Tencent ADP capabilities for agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and basic chat applications
- Common enterprise use cases and delivery considerations
Designing Agents for Business Processes
- Defining agent roles, boundaries, inputs, and outputs
- Selecting between single-agent and multi-agent architectures
- Structuring prompts, tools, and business rules
- Planning for escalation, human review, and reliability
Building RAG and Knowledge Workflows
- RAG concepts for grounded answers and enterprise knowledge access
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and response grounding patterns
- Testing and improving answer quality over time
Orchestrating Workflows and Integrations
- Mapping business processes into agent workflows
- Connecting agents to APIs, internal services, and enterprise systems
- Handling decisions, approvals, retries, and fallback paths
- Coordinating handoffs between workflow steps and specialist agents
Applying Operational Guardrails
- Guardrails for security, privacy, compliance, and policy control
- Mitigating risks from unsafe output, prompt injection, and sensitive data exposure
- Implementing approval checkpoints, audit trails, and access controls
- Designing safe response patterns for high-impact business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Tracking quality, latency, cost, and workflow success rates
- Testing agent behavior across realistic business scenarios
- Troubleshooting common RAG, workflow, and orchestration issues
- Creating an implementation plan for pilot and production adoption
Requirements
- A foundational understanding of generative AI concepts and typical enterprise AI applications
- Experience working with APIs, web applications, or cloud-based platforms
- Basic skills in programming, integration, or solution design
Target Audience
- Solution architects and technical leads
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams supporting enterprise AI initiatives
