Agentic AI – Building the Next Generation of Autonomous Systems
Offered by Intervia University
Course Modules
What is Agentic AI?
Explore the foundations of agentic intelligence, from simple LLM-based systems to fully autonomous AI frameworks. Understand how “agency” differs from traditional AI decision-making.
AI Agents Training
Learn how to train and fine-tune agents, design reward functions, and simulate realistic environments for behavior testing.
Multi-Agent Systems Tutorial
Understand how multiple agents can coordinate and communicate efficiently, enabling cooperative and competitive strategies.
Prompt Engineering for Agentic AI
Craft prompts that guide reasoning, enable complex planning, and ensure stable decision-making in language-based agents.
LLM Tool Integration Course
Connect AI agents to real-world tools, APIs, and databases, creating powerful hybrid systems that can search, compute, and act.
Agentic AI Architecture & Design
Blueprint the full lifecycle of an agent—designing modular architectures, scalable infrastructures, and effective orchestration systems.
Workflow Automation with AI Agents
Automate repetitive workflows by embedding agentic reasoning into business processes using both low-code and no-code tools.
No-Code AI Workflows, Ethics & Safety
Build and test agentic workflows without writing code, while understanding ethical design, safety mechanisms, and human oversight models.
Course Overview
Why Learn Agentic AI?
Step into the next era of artificial intelligence with Agentic AI, an advanced course designed to teach you how to build, train, and deploy autonomous AI agents capable of reasoning, planning, and acting independently. This course bridges theory and application—covering everything from multi-agent systems and prompt engineering to Retrieval-Augmented Generation (RAG), memory models, and ethical frameworks for intelligent systems.
You’ll learn how agentic systems work, how to train and manage them, and how to align them with human goals safely and ethically. This course emphasizes both technical skill-building and ethical responsibility, preparing learners for real-world AI innovation.
What You’ll Learn
By the end of this course, you’ll be able to:
Understand what is Agentic AI and its role in the modern AI ecosystem.
Train and evaluate AI agents using supervised and reinforcement learning.
Apply prompt engineering and LLM tool integration for intelligent agent behaviors.
Use RAG (Retrieval-Augmented Generation) for grounding AI agents in reliable knowledge.
Why Us
Our Commitment to Excellence
Capstone Project
In your final project, you’ll design a functional AI agent — such as a research assistant, workflow automator, or multimodal chatbot — integrating RAG, reasoning, and tool use. Your capstone will demonstrate your mastery of agentic design principles, creativity, and technical execution.
Who Should Enroll
AI developers and ML engineers Prompt engineers and product designers Data scientists and automation architects Innovators exploring no-code AI workflows
Ethics and Safety in Agentic AI
With great power comes great responsibility. You’ll learn frameworks for safety alignment, auditability, and transparency in agentic AI design. Real-world case studies will highlight both the potential and the pitfalls of autonomous systems, helping you build AI that is reliable, interpretable, and human-centered.
Our Projects
Our Stunning Projects
Learning Format
Duration: 10 weeks (part-time)
Format: Online, with weekly live sessions and on-demand content
Projects: Hands-on labs, case studies, and a final capstone project
Assessment: Quizzes, peer reviews, and applied projects
Certification: Intervia University Certificate in Agentic AI Systems and Design
Who Should Enroll
AI developers and ML engineers
Prompt engineers and product designers
Data scientists and automation architects
Innovators exploring no-code AI workflows
Anyone passionate about building autonomous and ethical AI systems