Autonomous AI Agents

Training Provider: TERTIARY INFOTECH ACADEMY PTE. LTD.
Course Reference: TGS-2025054471
S$450
Original: S$900
Save S$450

About This Course

Autonomous AI Agents equips participants with practical skills to design, build, deploy, and manage AI agents capable of performing tasks with minimal human intervention. Learners will explore how autonomous agents use large language models, tools, memory, context, reasoning, and structured workflows to understand goals, plan actions, make decisions, and interact with digital systems.

Through hands-on activities, participants will build agents that retrieve information, process documents, call APIs, automate workflows, generate outputs, and collaborate with other specialized agents. The course covers agent architecture, prompt and context engineering, tool integration, Retrieval-Augmented Generation, persistent memory, multi-agent coordination, task delegation, and human-in-the-loop approvals.

Participants will also learn to evaluate agent performance, monitor actions, manage permissions, control operating costs, and troubleshoot unreliable behaviour. Strong emphasis is placed on responsible deployment through sandboxing, least-privilege access, security guardrails, audit trails, data protection, and defence against prompt injection. By the end of the course, learners will be able to develop secure, reliable, and goal-driven autonomous AI agents for practical business and operational applications.

What You'll Learn

Learning Outcome:
LO1: Implement AI applications by integrating data management principles and fundamental AI concepts to address real-world challenges.
LO2: Deploy AI workflows using machine learning techniques and software development methodologies to optimize performance and accuracy.
LO3: Identify and report issues in AI applications by analyzing implementation procedures and evaluating collected data.

Topics Covered:
Topic 1: Building Autonomous AI Agents with Data, Memory and Tools
Topic 2: Deploying and Optimizing Autonomous AI Agent Workflows
Topic 3: Monitoring, Evaluating and Troubleshooting AI Agent Applications

Entry Requirements

Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude
• Positive Learning Attitude
• Enthusiastic Learner

Experience
• Minimum of 1 year of working experience.

Target Year Group : 21-65 years old

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled 2 students
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