Agentic AI Complete Course — SmartPrompt Academy

What you'll learn

By the end you won't just know about AI agents — you'll have built them, from a single-tool agent to a coordinated multi-agent system running in production.

✓How LLMs really work — tokens, context windows, temperature

✓Write prompts that work reliably, not by luck

✓Build agents that reason, plan, and act on their own

✓Give agents real tools: APIs, web search, calculators

✓Add memory so agents remember across conversations

✓Build RAG systems that answer from your own documents

✓Use LangChain, LangGraph, CrewAI and the Claude Agent SDK

✓Design multi-agent teams that divide work and collaborate

✓Connect agents to real apps with MCP

✓Add guardrails, testing, and human-in-the-loop safety

✓Control cost and latency so agents are affordable to run

✓Deploy and monitor a production agent end to end

Course curriculum

62 lessons across 11 phases plus a capstone. Every lesson includes a written explanation, audio narration, runnable code, a hands-on practice task, and a build project — with the DRONA AI tutor beside you throughout.

P0 Foundations — Python & AI basicsFREE PREVIEW 6 lessons

›What is Agentic AI?
›Python essentials for AI
›Variables, functions & loops
›Working with APIs
›JSON & structured data
›What is an LLM? Your first API call

P1 Understanding LLMs deeply 6 lessons

›How LLMs actually work
›Tokens & embeddings
›Context windows
›Temperature & sampling
›System vs user prompts
›Choosing the right model

P2 Prompt engineering mastery 5 lessons

›Zero-shot & few-shot prompting
›Chain-of-thought reasoning
›Role prompting
›Structured outputs
›Reusable prompt templates

P3 What makes an agent 5 lessons

›Agent vs chatbot
›The ReAct pattern
›Reason-Act-Observe loop
›Planning & task decomposition
›Build your first single-tool agent

P4 Tools & function calling 5 lessons

›Function calling explained
›Defining tool schemas
›Calling external APIs
›Web search & calculators
›Multi-tool agents

P5 Memory & context 5 lessons

›Short vs long-term memory
›Conversation history
›Vector databases
›Embeddings for retrieval
›Persistent agent state

P6 RAG — Retrieval Augmented Generation 5 lessons

›Why RAG matters
›Chunking documents
›Embeddings & similarity
›Building a RAG pipeline
›RAG agent over your docs

P7 Agent frameworks 6 lessons

›LangChain fundamentals
›LangGraph state machines
›CrewAI multi-agent
›AutoGen
›Framework vs framework-free
›Claude Agent SDK

P8 Multi-agent systems 5 lessons

›Orchestrator-worker pattern
›Agent-to-agent communication
›Shared state & handoffs
›Failure & retry handling
›Research + writer pipeline

P9 Protocols & interoperabilityADVANCED 4 lessons

›Model Context Protocol (MCP)
›Building an MCP server
›Connecting agents to apps
›Tool standardization

P10 Production, safety & deploymentADVANCED 6 lessons

›Why agents fail
›Guardrails & permissions
›Human-in-the-loop
›Evaluation & testing
›Cost & latency control
›Deploy & monitor agents

CAP Capstone — Build a production agent 4 lessons

›Design your own agent
›Guided build
›Code review checkpoints
›Deploy & demo

How each lesson works

Not passive videos. Every lesson has six parts, so you actually learn by doing.

🛠

Do it for real

A task in a real AI tool before any theory — so the concept lands.

📖

Read

A clear written explanation with examples and diagrams.

🔊

Listen

Full audio narration — learn while commuting.

▶️

Run

Working Python you can run and modify immediately.

✍️

Practice

A coding task that's auto-checked, with hints if you're stuck.

🏗

Build

A real project you keep — plus a challenge to extend it.

Who this is for

Working developers

You know some code and want AI agent skills that make you hard to replace.

Students & fresh graduates

Build a portfolio of real agent projects that stand out in interviews.

Career changers (any age)

Start from Python basics. No AI background needed — the course begins at zero.

Analysts & consultants

Automate the repetitive parts of your work and understand what your tech team builds.

Requirements

›A computer with internet — that's genuinely it.
›No prior AI knowledge. Phase 0 starts from absolute basics.
›No paid software required to begin — we use free tools throughout.
›Curiosity and a willingness to type code yourself.

Not sure what to install? Read the setup guide for the tools you'll need — most are free.

Start with Phase 0 free

The first 6 lessons are free — try the teaching style before you pay anything. Lifetime access, 7-day refund guarantee.

Agentic AI: Complete CourseFrom Zero to Production

What you'll learn

Course curriculum

How each lesson works

Who this is for

Requirements

Agentic AI: Complete Course
From Zero to Production