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Duration 14 hours
Course Outline
Enterprise AI Agents via Tencent ADP
- Understanding the definition of enterprise AI agents and their value proposition
- Tencent ADP features for agent development, knowledge integration, and workflow automation
- Distinguishing between agent-based solutions and standard chat applications
- Typical 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
- Planning for escalation, human oversight, and system reliability
Developing RAG and Knowledge Workflows
- RAG principles for accurate answers and accessing enterprise knowledge
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and response grounding strategies
- Testing and refining answer quality over time
Orchestrating Workflows and Integrations
- Translating business processes into agent workflows
- Integrating agents with 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 enforcement
- Mitigating risks from unsafe output, prompt injection, and data leakage
- Incorporating approval checkpoints, audit logs, and access controls
- Designing secure response patterns for high-impact business scenarios
Monitoring, Evaluation, and Continuous Enhancement
- Tracking quality, latency, costs, and workflow success metrics
- Evaluating agent behavior in realistic business scenarios
- Resolving common issues in RAG, workflows, and orchestration
- Creating an implementation plan for pilot and production rollout
Requirements
- A foundational grasp of generative AI principles and typical enterprise AI applications
- Practical experience 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
