Agentic AI Bootcamp - From prompting to Intelligent Systems
Become a Certified Agentic AI Engineer. Design, build, evaluate, deploy and automate agentic workflows.
Description
The Agentic AI Bootcamp at Coder Faculty is a practical 16-week programme designed for both students and professionals who want to build strong skills in Agentic AI, intelligent automation and modern AI systems. This course provides a structured introduction to AI agents, workflow automation, tool-connected systems and practical agent development using real-world business and technical applications.
The programme begins with the foundations of Agentic AI, introducing students to modern AI agents, workflow thinking, prompt engineering and structured task design. It also includes essential Python programming for AI and automation, giving students the ability to work with structured data, APIs and reusable automation scripts.
As the course progresses, the curriculum introduces modern tools and platforms such as n8n, Ollama, LM Studio, Cursor, Codex, Antigravity, Claude Code and OpenCode. Students learn how to design practical AI workflows, connect agents to APIs, documents and external services and build systems that can reason, use tools and automate tasks. The course also covers key topics such as tool calling, Retrieval-Augmented Generation (RAG), the Model Context Protocol (MCP), memory, orchestration and human-in-the-loop design.
A key feature of this bootcamp is its focus on practical implementation of AI agents. Throughout the 12 weeks, students work on hands-on labs and real-world agentic AI tasks including workflow automation, document-aware assistants, tool-connected agents and business process automation. These practicals help students build a strong portfolio of projects that demonstrates their readiness for work in Agentic AI and automation.
The programme ends with a capstone project, technical review, certification assessment and career guidance session. These elements ensure that students gain both a strong theoretical foundation and practical implementation skills, preparing them for emerging opportunities in Agentic AI, AI automation and intelligent systems development.
Register for the course
What you'll learn
Become a Certified Agentic AI Practitioner
Understand modern AI agents, agentic workflows and intelligent systems
Design and build practical AI automation workflows
Work with tools such as n8n, Ollama, LM Studio, Cursor, and Codex
Build AI systems that can reason, use tools and automate tasks
Understand prompt engineering, task design and structured outputs
Explore memory, state, orchestration and human-in-the-loop agent design
Understand multi-agent systems, handoffs and agent interoperability concepts
Learn evaluation, observability, guardrails and secure AI deployment practices
Understand core Python programming concepts for AI automation
Develop practical skills in low-code and code-based AI workflow design
Connect AI agents with APIs, documents and external services
Learn Retrieval-Augmented Generation (RAG) for grounded and reliable AI systems
Gain hands-on experience with real-world agentic AI projects
Understand the Model Context Protocol (MCP) and modern AI tool integration concepts
Gain practical experience deploying AI assistants, workflows and automation solutions
Prepare for emerging career opportunities in Agentic AI, AI automation and intelligent workflow engineering
Why should you take this course?
This bootcamp offers an intensive, hands-on learning experience for students, professionals and innovators who want to build practical skills in Agentic AI, intelligent automation and AI workflow design. With its blend of modern AI theory and real-world practical projects, the Agentic AI Bootcamp at Coder Faculty provides a reliable career path into the fast-evolving world of AI agents, automation and intelligent systems. By the end of the bootcamp, students will have developed a highly sought skillset that will open up new career opportunities in AI, automation and digital transformation.
How is the course delivered?
- Module 1: Agentic AI Foundations - Learn the fundamentals of Agentic AI, intelligent automation, workflow design, prompt engineering, structured outputs and Python basics for agent development.
- Module 2: Agent Development and Automation - Build practical agentic systems using n8n, Python, APIs, local AI tools, workflow platforms and tool calling.
- Module 3: Advanced Agents and Deployment - Explore RAG, MCP, memory, orchestration, multi-agent systems, browser agents, guardrails, evaluation and deployment of real-world agentic AI systems.
How is the course delivered?
- A qualified lecturer will deliver each session in real time, so you’re always interacting with a live instructor rather than just watching a recording.
- Students can attend classes in-person at our Curepipe campus in Mauritius or join online from anywhere.
- This course is delivered on a part-time basis over weekends (Saturdays) to accommodate working professionals and students with busy weekday schedules.
- All classes are recorded. If you miss a session or want to review a topic, the recording will be posted on our platform for later viewing. If you are not always available on the session date, you can register and view the recordings after the session and progress through the course at your own pace.
- Every session blends concise theory, live demonstrations, hands‑on practicals and a Q&A segment to keep you engaged.
Why should you take this course?
This bootcamp offers an intensive, hands-on learning experience for students, professionals and innovators who want to build practical skills in Agentic AI, intelligent automation and AI workflow design. With its blend of modern AI theory and real-world practical projects, the Agentic AI Bootcamp at Coder Faculty provides a reliable career path into the fast-evolving world of AI agents, automation and intelligent systems. By the end of the bootcamp, students will have developed a highly sought skillset that will open up new career opportunities in AI, automation and digital transformation.
Certificates
- A certificate of course completion will be awarded to all students who successfully complete the course.
- Students will also have the opportunity to earn 2 globally recognised certifications at no additional cost.
- An additional certificate from Harvard University is available to students who complete additional coursework and pass the required exams.
Requirements
- There are no requirements for this course.
- Anyone can take this course as it is designed for both beginners and professionals.
- The course starts with the basics and gradually progresses to advanced topics, ensuring that all students can follow along.
- This course is suitable for individuals from diverse backgrounds, including students, working professionals, and career changers with no prior experience in AI or IT
Register for this course and become a certified Agentic AI engineerw today!
Course Content
Instructor
N.Rampersand
Instructor
Nirmal Rampersand is an accomplished Lead Software Engineer with extensive experience in training and leading software development teams with agile frameworks. With a diverse skill set spanning multiple programming languages and domains, he is proficient in Python, Node.js, Java, PHP, SQL, NoSQL, C++, Machine Learning (ML), and Natural Language Processing (NLP). He is currently conducting doctoral research in the field of Computational Intelligence and Optimisation.
With several years of dedicated teaching experience, Nirmal has consistently demonstrated his passion for nurturing the next generation of software developers and data scientists. He has successfully trained both students and professionals in a wide array of domains, including Python programming, Full Stack Web Development, and Data Science & Machine Learning. As a Udemy instructor, he has harnessed his expertise to develop comprehensive curriculums and on-demand courses. This has allowed him to reach a global audience of learners, empowering them with the knowledge and skills necessary to succeed in today's fast-paced tech industry.
He also excelled as a Freelance Software Engineer, demonstrating mastery in developing robust REST APIs using Node.js and Python. His innovative flair was evident in creating intelligent systems for NLP solutions and complex chatbots. Furthermore, he is an expert in data mining and analytics. His proficiency extends to application development, covering the entire lifecycle, and he's crafted user-friendly, cross-platform mobile applications. These hands-on experiences uniquely qualify him to impart real-world knowledge to students and professionals alike.
These rich experiences in software engineering, development, and AI have uniquely positioned him as an educator who not only imparts knowledge but also shares real-world, hands-on expertise with his students.
Student Reviews
Register for the course
Aswad Banee - Software Engineer at Agileum
Rating: 5/5
It was a fantastic training, and you got fantastic teaching skills. This made it possible for me to quickly pick up python. Every single one of your lectures was excellent. I sincerely appreciate it.
Aditya Potharala - Software Engineering Student
Rating: 5/5
The course covers a lot of material and also the assignments were manageable. It was interactive, informative and well planned. It has been a truly rewarding learning experience and the tutor was very understanding and supportive throughout the course. Highly recommended !
Altaaf Waresh Allee - Junior Developer
Rating: 5/5
Courses are well structured, lectures are well explained and practical sessions are made easy for anyone. Mr Nirmal a really great lecturer, one who shows passion for his job and cares for his students. Really enjoyed the efforts made for students.