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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Understanding the nature of enterprise AI agents and their value proposition
- Tencent ADP’s capabilities for agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and simple chat applications
- Typical enterprise use cases and key delivery considerations
Designing Agents for Business Processes
- Defining agent roles, scope, inputs, and outputs
- Selecting between single-agent and multi-agent architectures
- Structuring prompts, tools, and business rules
- Planning for escalation, human oversight, and system reliability
Developing RAG and Knowledge Workflows
- Core RAG concepts for grounded responses and enterprise knowledge access
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and response grounding patterns
- Testing and iteratively improving answer quality
Orchestrating Workflows and Integrations
- Translating business processes into agent workflows
- Connecting agents to APIs, internal services, and enterprise systems
- Managing decisions, approvals, retries, and fallback mechanisms
- Coordinating handoffs between workflow stages and specialized agents
Implementing Operational Safeguards
- Safeguards for security, privacy, compliance, and policy management
- Mitigating risks from unsafe outputs, prompt injection, and sensitive data exposure
- Incorporating approval checkpoints, audit trails, and access controls
- Designing safe response strategies for high-impact business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Monitoring quality, latency, cost, and workflow success metrics
- Validating agent behavior across realistic business scenarios
- Troubleshooting common RAG, workflow, and orchestration issues
- Formulating an implementation plan for pilot testing and production rollout
Requirements
- Foundational knowledge of generative AI principles and typical enterprise AI applications
- Practical experience with APIs, web applications, or cloud-based platforms
- Basic skills in programming, integration, or solution design
Target Audience
- Solution architects and technical leaders
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams driving enterprise AI initiatives
