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Agentic AI Developer
Step into the next frontier of Artificial Intelligence with Ameya's Agentic AI Developer program. This advanced technical track is dedicated to the design and implementation of AI Agents — entities that don't just generate text, but use tools, browse the web, interact with databases, and self-correct to complete multi-step objectives. We move from static RAG pipelines to dynamic, cyclic architectures where the LLM acts as the central reasoning engine (the “brain”) controlling an ecosystem of software tools (the “hands”).
Our Training Services — The Autonomous Systems Stack
A hands-on curriculum covering the reasoning patterns, tool integrations, and orchestration techniques that turn LLMs into goal-driven autonomous agents.
Master the fundamental architectures of agency — ReAct (Reason + Act), Plan-and-Execute, and Reflexion strategies — to enable autonomous decision-making in unpredictable environments.
Deep dive into teaching LLMs how to interface with external APIs, Python interpreters, and custom software modules ensuring agents can perform complex real-world actions beyond simple text generation.
Learn to build “swarms” of specialized agents that collaborate, debate, and peer-review each other's work to solve enterprise-scale problems while maintaining granular control over individual agent roles and permissions.
Implement sophisticated memory architectures using vector databases and “Summary Buffers” to keep agents focused on long-running tasks without losing context or exceeding model token limits during multi-step workflows.
Move beyond simple search to “Corrective RAG,” where agents evaluate their own search results and perform secondary searches if the data is insufficient to guarantee the highest level of factual grounding.
Designing control points where agents pause for human approval before executing high-risk actions to maintain absolute safety and alignment with corporate governance standards.
Our Training Process — The Agent Builder's Journey
A structured path from cognitive architecture design to production-grade, self-correcting autonomous agents.
We begin by mapping out the “Cognitive Architecture” — deciding when an agent needs a simple chain vs. a complex, cyclic graph ensuring the design choice perfectly matches the computational efficiency and logic requirements of the task.
Hands-on sessions connecting agents to live tools (Search, SQL, File Systems) in a secure, isolated environment to build technical confidence in handling real-time data integrations safely.
Building agents that can handle “Failure Loops” — learning how to prompt an agent to realize it made a mistake and try a different approach creating resilient systems that can autonomously self-correct during runtime.
A workshop on multi-agent collaboration, assigning different roles (e.g., a “Coder” agent and a “Reviewer” agent) to complete a project simulating professional software development life cycles powered entirely by AI.
Using advanced observability tools to “record” an agent's thoughts, making the non-deterministic reasoning process transparent and auditable for easier debugging and long-term performance monitoring.
Hardening your agent for production — handling infinite loops, managing token costs, and ensuring safe execution within a scalable cloud infrastructure designed for high-concurrency usage.
Why Choose Ameya for Agentic AI?
Engineering Autonomy with Accountability.
We are pioneers in teaching LangGraph and CrewAI, the leading frameworks for building production-grade agents providing you with the cutting-edge tools used by industry leaders.
Most courses teach linear AI. We specialize in the “loops” — teaching you how to manage agents that think, act, observe, and repeat to unlock truly dynamic and adaptive autonomous behavior.
Giving an AI “hands” is risky. We teach the “Ameya Safety Protocol” for agentic deployment, including sandboxing, permissions, and audit logs to protect your infrastructure from unauthorized agent actions.
You don't start from zero. We provide a library of blueprints for Sales Agents, Research Agents, and DevOps Agents that you can deploy immediately to generate instant value for your business operations.
We focus on the most advanced models (like GPT-4o and Claude 3.5 Sonnet) and their specific capabilities for high-level logical reasoning and tool-use ensuring your agents leverage the maximum intelligence available today.
Design and deploy autonomous AI agents using ReAct, Plan-and-Execute, and Reflexion reasoning patterns
Build production-grade agents in LangGraph and CrewAI with tool use, function calling, and external API integration
Orchestrate multi-agent “swarms” that collaborate, debate, and peer-review work on enterprise-scale tasks
Implement long-term memory, Corrective RAG, and Human-in-the-Loop checkpoints for safety and accuracy
Harden, observe, and scale agentic systems in production with cost controls and full traceability
Master the art of building autonomous systems with Ameya's Agentic AI Developer program.
