Certificate of Achievement

Matthew Steffano Suwandi

has completed the following course:

Agentic AI Fundamentals: Build Autonomous AI Systems

Edureka

This online course explored the concepts, architectures, and frameworks used to build AI agents and agentic AI systems. The course covered ReAct-based reasoning, tool integration, agent development in Python, LangChain-based workflows, multi-agent collaboration, agent orchestration frameworks, and model-to-tool communication. Learners also examined responsible AI principles, safety guardrails, and best practices for designing reliable, scalable, and intelligent automation solutions.

2 weeks, 2 hours per week

Sreedevi Sreekumar

Chief Executive Officer

Edureka

71%
overall score

Transcript

Learning outcomes

  • Explain the core principles of agentic AI, including how AI agents use reasoning, tools, prompts, memory and observations to work towards a goal.
  • Build a scratch ReAct agent in Python using Groq, including tool registration, action parsing, scratchpad updates and final answer generation.
  • Extend an agent workflow by adding tool-based capabilities, such as web search, to support external information retrieval and more grounded responses.
  • Develop LangChain and Gemini-based agent workflows, including a single-agent Meeting Notes Assistant and a multi-agent Researcher–Writer–Reviewer workflow.
  • Evaluate agentic AI systems by comparing frameworks, multi-agent patterns and responsible AI guardrails for reliability, safety, scalability and production readiness.

Syllabus

  • What AI agents are and how they differ from chatbots: the agent loop, LLM core, and tool use
  • Hands-on: building a ReAct agent from scratch in Python using Groq API
  • Tool integration: giving agents real-world capabilities with web search and custom functions
  • Hands-on: building a tool-using research agent with LangChain and Gemini
  • Hands-on: building a multi-agent system
  • The agentic AI landscape: frameworks, protocols (MCP, A2A), ethics, and safety

In association with

Issued on 3rd July 2026

The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.

This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.

Free online course:

Agentic AI Fundamentals: Build Autonomous AI Systems

Edureka