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Computer ScienceBCABeginner Friendly
Agentic AI for Beginners: From Prompts to Action
Understand how AI agents think, plan, and act — no coding required.
"AI is no longer just about chatbots that answer questions. The next wave — Agentic AI — is about systems that set goals, make decisions, use tools, and complete multi-step tasks on your behalf. This course gives you a clear, jargon-free foundation to understand, use, and work alongside these powerful systems."
Who Is This For?
- Professionals looking to automate repetitive workflows
- Business owners exploring AI adoption
- Students eyeing AI product management careers
- Content creators and freelancers
- Anyone curious to go beyond simple ChatGPT prompts
The Outcome
By the end of 6 weeks, you won't just understand the theory — you'll have built and run your own simple AI agent using free tools, and you'll know how to evaluate, prompt, and manage agents in real-world workflows.
What You Will Walk Away With
A mental model of how AI agents work: perception, memory, reasoning, and action
Hands-on experience building and running a simple agent using no-code tools
Ability to write effective prompts that guide agents toward your goals
Understanding of where agents succeed, fail, and need human oversight
A personal project to showcase in a portfolio or resume
Course Curriculum
Assessment & Certification
This course uses project-based assessment. There are no multiple-choice tests. Learning is demonstrated through doing.
Weekly Assignments (60%)
- Week 1: Describe your ideal agent10%
- Week 2: Multi-step task reflection10%
- Week 3: Prompt iteration exercise10%
- Week 4: Agent specification document10%
- Week 5: Working agent + test cases20%
Final Project (40%)
Requirements:
- • 90-second agent walkthrough
- • Full Technical Documentation
- • 500-word written reflection
Certificate issued upon scoring 70% or higher.
Key Terms to Master
Agent
An AI system that perceives its environment, plans actions, uses tools, and works toward a goal with limited human input per step.
Chain of Thought
A technique that asks the model to reason step-by-step before giving a final answer.
RAG
Retrieval-Augmented Generation — retrieving relevant documents before generating a response.
Minimal Footprint
A safety principle: agents should request only necessary permissions and prefer reversible actions.
Enrollment Open
Opportunity to work with us
Lifetime access
Certificate of completion
2026 Ready Content
Tools You'll Master
ChatGPT (GPT-4o) or Claude.ai
Primary AI interfaces
Zapier AI / Make.com
No-code agent automation
Notion AI
Memory and knowledge management
Google Colab
Optional for exploring code
Course Provider
Celoris
Course Instructor
Celoris is an unified platform for learn, earn or just to be social. We bridge the gap between AI theory and real-world execution.
4.8(120 ratings)
6 Weeks Content
120 Students Enrolled
Is This You?
- No prior AI or coding experience needed
- Curiosity and a willingness to experiment
- A modern web browser
- Access to free tiers of tools (ChatGPT/Claude, Zapier, Notion)