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Duration 14 hours
Course Outline
Enterprise AI Agents via Tencent ADP
- Defining enterprise AI agents and identifying areas where they generate value
- Exploring Tencent ADP capabilities for agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and basic chat applications
- Reviewing common enterprise use cases and key delivery considerations
Designing Agents for Business Processes
- Defining agent roles, operational boundaries, inputs, and expected outputs
- Selecting between single-agent and multi-agent architectural designs
- Structuring prompts, tool usage, and business rule logic
- Planning for escalation paths, human review loops, and system reliability
Constructing RAG and Knowledge Workflows
- Understanding RAG concepts for generating grounded answers and accessing enterprise knowledge
- Preparing documents, policies, and internal content for effective retrieval
- Designing retrieval flows and response grounding patterns
- Testing and iteratively improving answer quality over time
Orchestrating Workflows and System Integrations
- Mapping existing business processes into agent-driven workflows
- Connecting agents to APIs, internal services, and broader enterprise systems
- Managing decisions, approval gates, retries, and fallback mechanisms
- Coordinating handoffs between workflow steps and specialized agents
Implementing Operational Guardrails
- Establishing guardrails for security, privacy, compliance, and policy enforcement
- Mitigating risks associated with unsafe output, prompt injection, and sensitive data exposure
- Incorporating approval checkpoints, audit trails, and access control mechanisms
- 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
- Testing agent behavior across realistic business scenarios
- Troubleshooting common issues related to RAG, workflows, and orchestration
- Developing an implementation roadmap for pilot programs and full production adoption
Requirements
- A foundational grasp of generative AI principles and typical enterprise AI applications
- Practical experience with APIs, web applications, or cloud-based platforms
- Foundational skills in programming, system integration, or solution architecture
Target Audience
- Solution architects and technical leaders
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams driving enterprise AI initiatives
