Applied Agentic AI: Systems, Design & Impact Bootcamp
1.650,00 EUR
- 200 hours
The Applied Agentic AI: Systems, Design & Impact programme is designed to guide you through the emerging field of agentic AI. It combines Microsoft’s AI technology expertise with instructor-led training, live online sessions, and hands-on projects.
About the course
In collaboration with Microsoft
- Build advanced knowledge in multi-agent systems, RAG, MCP, and related technologies.
- Design and develop next-generation agentic AI solutions using industry-leading frameworks.
- 10 weeks bootcamp program (online class every weekend!)
- Ask us for next cohort schedule details!
The programme takes you beyond interface development to designing intelligent behaviours. You’ll explore agentic frameworks, planning systems, multi-agent coordination, and prompt engineering, while working on real-world projects with industry-standard tools. By completion, you’ll be able to orchestrate multi-agent systems, develop AI-native product strategies, and lead AI-driven transformation within your organisation.
Key Features
Course and material in English
Beginner - Advanced level for aspiring professional
10 weeks program (6-8 hours/ week. Weekend classes)
70+ hours of live online classroom
200+ hours recommended study time
1 year of access to the learning platform & class recordings
25+ Tools and Frameworks
40+ demos, 10+ guided practices, 11 frameworks
7 hands-on course-end projects, and 1 capstone
Get Microsoft Learn portal access and MS-branded certificates
Certificate for each courses & bootcamp master certificate included
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Understand and apply
core concepts of agentic AI including how autonomous agents reason, plan, and act within complex systems.
Design and orchestrate
multi‑agent AI systems using industry‑standard frameworks and tools.
Use advanced planning systems
RAG (retrieval‑augmented generation), prompt engineering, and MCP (Model Context Protocol) to build efficient, scalable autonomous workflows.
Translate strategic product vision
into practical AI‑driven solutions that can coordinate multiple agents to solve real business problems.
Work hands‑on
with a broad set of AI tools (e.g., LangChain, AutoGen, CrewAI, n8n, LangSmith) to prototype, test, and refine agentic solutions.
Evaluate and implement
agentic system components with attention to UX, security, interoperability, and operational readiness.
Measure performance
define key metrics, and assess ROI for AI agent deployments in production contexts.
Develop and present
a production‑grade capstone project that connects agent design with go‑to‑market strategy and operational execution
Why is Agentic AI
Critical Today?
AI has moved beyond experimental stages, with companies now deploying it at scale to enhance productivity and transform products. This shift has created an urgent need for professionals who can actively lead AI initiatives rather than just observe them.
The next frontier is agentic AI and multi-agent systems—AI capable of planning, decision-making, and acting across complex workflows. Organisations are rapidly investing in AI agents, fundamentally changing product development and work processes. This trend presents a significant opportunity for mid- to senior-level product managers and technology leaders, as roles that combine product expertise with agentic AI skills are becoming highly sought-after and well-compensated in the AI ecosystem.
An Engaging Learning Journey
Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.
Learning Path
Python Refresher With AI
Course 1 (Optional)
Foundations of AI & Agentic AI
Course 2
Generative AI Tech Stack and Prompt Engineering
Course 3
LLM Internals & Planning Systems
Course 4
Multi-Agent Ecosystems (I)
Course 5
Multi-Agent Ecosystems (II)
Course 6
Model Context & Tooling Protocol
Course 7
Metrics, GTM & ROI
Course 8
Agentic UX Design & Transparency
Course 9
Dev Tools & Product Readiness
Course 10
Develop AI Agents on Azure (Microsoft)
Course 11
Product Strategy Simulation
Capstone Project
Develop Generative AI Apps in Azure (Microsoft)
Elective 1
Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen
Elective 2
Who Should Enroll in this Program?
It’s aimed at experienced professionals who want to design, orchestrate, and lead advanced AI systems that go beyond basic generative AI into multi‑agent orchestration and strategy. The Applied Agentic AI: Systems, Design & Impact course is primarily aimed at:
Mid- to senior-level professionals
Product managers and technical leaders
AI/ML practitioners and engineers
Consultants or innovators
Professionals with a basic understanding of programming
Prerequisites
- Be at least 18 years old and have a high school diploma or equivalent
- Have a fundamental understanding of programing concepts
- Have 4+ years of professional experience, preferred, but not mandatory
Statements
Licensing and accreditation
This Bootcamp is offered according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
FAQ
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