AI Agents & Automation Engineering
Design agentic systems that use tools, remember context and run reliably
- Advanced level
- 2 months
- Live Online
- Certificate of completion
Fee on request
Tell us your background and a counsellor will share the fee, batch dates and EMI options.
This course includes:
- 2 months program
- Lifetime access to recordings
- Certificate of completion
- Placement assistance until hired
- Secure checkout · UPI, cards, EMI
AI Agents & Automation Engineering at a glance
AI Agents & Automation Engineering is a 2 months, advanced-level live online program from Axcvia, open to learners with llm api experience or our generative ai course, ending with a capstone project and a certificate of completion.
- Duration
- 2 months
- Level
- Advanced
- Mode
- Live Online
- Fee
- On request
- Certificate
- Yes, on completion
- Projects
- 4 modules
- Placement support
- Included until you're hired
What you'll learn
- Build agents that call tools and recover from failures
- Choose between workflows, RAG and agents for a problem
- Add tracing, evals and approval gates to agent runs
- Deploy an agent with cost and permission controls
Course content
4 modules · 16 topics · 2 months
- Agent loops vs fixed workflows
- Planning and decomposition patterns
- State, memory and context budgets
- Choosing when NOT to use an agent
Lesson recordings and materials are added to your dashboard as the batch progresses.
Requirements
- LLM API experience or our Generative AI course
- Comfortable with Python or TypeScript
Description
Agents are LLMs given tools, memory and a loop. This course covers how to build them so they stay reliable: planning patterns, tool design, state and memory, retries and guardrails, human approval steps, and the observability you need to debug non-deterministic systems.
You build three agents — a research assistant, a workflow automator and a customer-support triage bot — and learn when a plain workflow beats an agent.
Frequently asked questions
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