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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Understanding what enterprise AI agents are and how they drive business value
- Tencent ADP features supporting agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and basic chat applications
- Identifying common enterprise use cases and deployment considerations
Designing Agents for Business Processes
- Defining agent roles, boundaries, inputs, and expected outputs
- Selecting between single-agent and multi-agent architectures
- Structuring prompts, tools, and business rules effectively
- Planning for escalation, human review, and system reliability
Developing RAG and Knowledge Workflows
- Core RAG concepts for providing grounded answers and accessing enterprise knowledge
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and patterns for response grounding
- Testing and iteratively improving answer quality
Orchestrating Workflows and Integrations
- Mapping business processes into agent-driven workflows
- Connecting agents to APIs, internal services, and enterprise systems
- Managing decisions, approvals, retries, and fallback mechanisms
- Coordinating handoffs between workflow steps and specialized agents
Implementing Operational Guardrails
- Establishing guardrails for security, privacy, compliance, and policy adherence
- Mitigating risks associated with unsafe output, prompt injection, and data exposure
- Incorporating approval checkpoints, audit trails, and access controls
- Designing safe response patterns for high-impact business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Tracking metrics for quality, latency, cost, and workflow success
- Testing agent behavior across realistic business scenarios
- Troubleshooting common issues in RAG, workflows, and orchestration
- Formulating an implementation plan for pilot and production adoption
Requirements
- A foundational understanding of generative AI concepts and typical enterprise AI applications
- Experience interacting with APIs, web applications, or cloud-based platforms
- Basic proficiency 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 driving enterprise AI initiatives
