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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Understanding the definition and value proposition of enterprise AI agents
- Tencent ADP features for agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and standard chat applications
- Reviewing common enterprise use cases and key delivery considerations
Designing Agents for Business Processes
- Defining agent roles, operational boundaries, inputs, and outputs
- Selecting between single-agent and multi-agent architectural designs
- Structuring prompts, tools, and embedded business rules
- Planning for escalation paths, human review, and system reliability
Building RAG and Knowledge Workflows
- Applying RAG concepts for grounded answers and enterprise knowledge retrieval
- Preparations for documents, policies, and internal content for effective retrieval
- Designing retrieval flows and response grounding patterns
- Iteratively testing and refining answer quality over time
Orchestrating Workflows and Integrations
- Translating business processes into structured agent workflows
- Connecting agents to APIs, internal services, and broader enterprise systems
- Managing decisions, approvals, retries, and fallback mechanisms
- Coordinating handoffs between workflow steps and specialized agents
Applying Operational Guardrails
- Implementing guardrails for security, privacy, compliance, and policy enforcement
- Mitigating risks related to unsafe output, prompt injection, and sensitive data exposure
- Incorporating approval checkpoints, audit trails, and strict access controls
- Designing safe response patterns for high-impact business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Tracking key metrics such as quality, latency, cost, and workflow success rates
- Evaluating agent behavior across realistic business scenarios
- Troubleshooting common issues in RAG, workflows, and orchestration
- Developing an implementation roadmap for pilot testing and production rollout
Requirements
- A foundational grasp of generative AI concepts and typical enterprise AI applications
- Practical experience with APIs, web applications, or cloud-based platforms
- Basic background in programming, system integration, or solution design
Target Audience
- Solution architects and technical leads
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams driving enterprise AI initiatives
