Agentic AI Training for Teams
From AI agent fundamentals to advanced multi-agent orchestration — 6 courses covering conversational agents, reactive agents, and reinforcement learning. Led by Microsoft Certified Trainer Axel Sirota.
Get Your Agentic AI Training PlanFree consultation · No minimum seats
Overview
Agentic AI is the fastest-growing area in enterprise AI. This path teaches your team to build autonomous AI systems that perceive, decide, and act independently — from simple chatbots to sophisticated multi-agent teams that collaborate to solve complex problems.
The path offers entry points for every role: business leaders get strategic frameworks for agent deployment, developers learn to build production-ready agents, and ML engineers master reinforcement learning for truly adaptive systems.
Courses in This Path
Foundations of Agentic AI
Understand autonomous agents through live demos and hands-on exercises. No coding required.
Agentic AI for Leaders
ROI frameworks, vendor evaluation criteria, and 90-day implementation roadmaps for decision-makers.
Foundations for Conversational Agents
Build production-ready chatbots with memory, context management, and tool integration.
Reactive and Other Non-Conversational Agents
Create agents that monitor systems, trigger workflows, and automate complex business processes.
Reinforcement Learning for Agentic AI
Train agents that learn from experience using modern RL techniques. Includes hackathon.
Advanced Multi-Agentic Systems
Orchestrate teams of specialized agents that collaborate to solve complex problems. Includes hackathon.
Who Is This For?
- ✓Non-technical executives and managers evaluating AI agent strategies for their organization
- ✓Developers building chatbots, virtual assistants, and conversational AI
- ✓Backend engineers automating workflows with reactive and non-conversational agents
- ✓ML engineers training adaptive agents with reinforcement learning
- ✓AI architects designing multi-agent systems for production
Key Topics Covered
Simple, Transparent Pricing
$2,500/day
Up to 10 students per session · No minimum seats
That's 80% less than enterprise training providers charge for the same quality. Custom curriculum, live instructor, hands-on projects — all included.
Get Your Agentic AI Training PlanFrequently Asked Questions
What is Agentic AI and why does my team need training?
Agentic AI refers to AI systems that can autonomously perceive their environment, make decisions, and take actions. Unlike basic chatbots, agents can use tools, access databases, and complete multi-step workflows independently. Teams adopting agentic AI can automate complex processes that previously required human intervention.
Do we need ML experience to take the Agentic AI courses?
Not for the beginner courses. "Foundations of Agentic AI" requires no coding at all, and "Agentic AI for Leaders" is designed for executives. For the intermediate and advanced courses, Python Intermediate is the prerequisite — we can include that in a custom curriculum.
How is this different from just using ChatGPT or Claude?
ChatGPT and Claude are single-turn conversational models. Agentic AI systems are autonomous — they can plan multi-step workflows, use tools and APIs, remember context across sessions, and even coordinate with other agents. This training teaches you to build systems that go far beyond what a chat interface can do.
Can we do a 2-day executive + developer combined training?
Yes, this is one of our most popular formats. Day 1 covers "Foundations of Agentic AI" (the whole team) plus "Agentic AI for Leaders" (executives). Days 2-3 continue with hands-on agent building for developers while executives return to their work with a clear strategic framework.
Do you cover LangGraph and LangChain in this training?
Yes. LangChain and LangGraph are the primary frameworks used across the intermediate and advanced courses. Teams learn LangChain for chains, tool calling and agent executors, then move to LangGraph for stateful agents — building graphs with nodes, conditional edges, cycles and checkpointing. Because the official documentation changes quickly, every exercise is written and tested against the current release, and your team keeps the working code afterwards.
Should we build our agents with LangChain or LangGraph?
Use LangChain when the workflow is essentially linear — retrieve, call a tool, respond. Use LangGraph when the agent needs to loop, retry, branch on quality checks, or hold state across many steps, which is where most production agents end up. The training covers both and gives your team a decision framework for choosing per use case rather than defaulting to one.
More questions? Read the full corporate AI training FAQ — 25 answers on pricing, team size, formats and prerequisites.
Other training paths for your team
Teams often combine paths — foundations first, then the specialised track. Every path is priced the same way, from $2,500 per training day.
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Prompting, RAG and fine-tuning for teams putting large language models into production.
6 courses · 11-13 days
Machine Learning & AI Training for Teams
The foundations under everything else: the ML track to take before the GenAI paths.
6 courses · 5-20+ days
Python & AI Development Training for Teams
Python and the infrastructure around it, for teams that need engineering fundamentals first.
4 courses · 12 days (core) + bundles
AI Training for Customer Support Teams
A support-specific path: grounded answers, escalation design and evaluation from real tickets.
4 courses · 7 days
Ready to Train Your Team?
Tell us about your team and goals. We'll create a custom training plan with the right courses, schedule, and pricing for your organization.
Get Your Agentic AI Training PlanFree consultation · No minimum seats · 100% satisfaction guarantee