Course Includes:
- Price: FREE
- Enrolled: 909 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 06:18 AM (updated every 10 min)
Course Folder
What You'll Learn
- Understand how AI agents differ from traditional chatbots and standard LLM applications.,Build a personal AI assistant in Python using Ollama and Streamlit.,Connect Python applications to local language models through Ollama.,Design effective system prompts
- agent roles
- and instruction patterns.,Create structured outputs using Pydantic and JSON schemas.,Build agents that can break complex goals into smaller
- actionable tasks.,Implement planner
- executor
- analyst
- writer
- and reviewer agent patterns.,Create tool-using agents that can call Python functions
- APIs
- databases
- and file utilities.,Build reusable tools for calculations
- search
- file handling
- and data analysis.,Add short-term conversation memory and persistent user preferences.,Process PDF documents and build Retrieval-Augmented Generation workflows.,Generate embeddings with Ollama and store them in a vector database.,Build an autonomous research agent that searches
- collects
- evaluates
- and summarizes information.,Design multi-agent workflows where specialized agents collaborate on a shared goal.,Orchestrate agent workflows using LangGraph and shared state.,Add human approval checkpoints before important actions are executed.,Implement reviewer loops that evaluate and improve agent-generated results.,Add logging
- retries
- error handling
- validation
- and workflow safeguards.,Build a complete airline disruption assistant that combines planning
- tools
- memory
- RAG
- research
- and multiple agents.,Deploy a complete autonomous AI application with a Streamlit interface.
Requirements
- Basic knowledge of Python
- including variables
- functions
- lists
- dictionaries
- and classes.,A computer running Windows
- macOS
- or Linux.,Python 3.11 or later installed on your computer.,Basic familiarity with installing Python packages using pip.,A code editor such as Visual Studio Code
- PyCharm
- or another Python-compatible editor.,Ollama installed locally for running language and embedding models.,At least 8 GB of RAM is recommended; 16 GB or more provides a better experience with larger local models.,An internet connection is helpful for installing packages
- downloading Ollama models
- and completing optional web-research exercises.,No previous experience with AI agents
- LangGraph
- vector databases
- or Retrieval-Augmented Generation is required.,No paid AI API subscription is required because the course uses local models through Ollama.,Beginners with basic Python knowledge can follow the course because each system is built step by step.
Description
Learn how to build practical AI agents with Python using modern tools such as Ollama, LangGraph, Streamlit, Pydantic, ChromaDB, and Retrieval-Augmented Generation.
In this hands-on course, you will explore how agentic AI applications are designed, developed, and tested through real-world project examples. Instead of focusing only on basic chatbot interactions, this course introduces structured AI agent workflows that can use tools, retrieve information, follow instructions, and support human decision-making.
You will begin with the foundations of AI agent development, including how agents receive goals, manage prompts, produce structured outputs, and work with Python-based logic. You will build a personal AI assistant project and learn how to organize inputs, outputs, conversation history, and response formats.
Next, you will practice AI planning and task decomposition. You will learn how to break larger objectives into smaller steps, design reliable JSON outputs, and use Pydantic models to validate structured responses. These skills are useful for creating more predictable and maintainable Generative AI applications.
The course then introduces tool-using AI agents. You will create Python functions that an agent can call for tasks such as calculations, file reading, API interactions, data lookup, and controlled automation. You will also explore important engineering concepts such as tool permissions, validation, retries, error handling, and human oversight.
A major part of the course focuses on RAG with Python. You will learn how to process PDF documents, split text into chunks, create embeddings with Ollama, store data in ChromaDB, and retrieve relevant content using semantic search. These lessons demonstrate how Retrieval-Augmented Generation can help AI systems work with private documents and trusted knowledge sources.
You will also build an autonomous research agent project that demonstrates query generation, information gathering, summarization, gap identification, and structured report creation. You will learn how autonomous loops work and how to design controls that help keep AI workflows focused and manageable.
Later in the course, you will explore multi-agent systems using LangGraph. You will design specialized agents such as a planner, researcher, analyst, writer, reviewer, and supervisor. These agents will communicate through shared state and demonstrate how collaborative AI workflows can be orchestrated in a structured way.
Throughout the course, you will work with a simulated airline disruption example. This project shows how an AI workflow can review booking details, compare possible flight options, reference policy information, generate recommendations, and request human approval before any final action.
By the end of the course, you should have hands-on experience with Python AI agents, local LLMs, Ollama AI development, LangGraph workflows, vector databases, AI memory, RAG systems, tool calling, human-in-the-loop AI, and multi-agent collaboration.
This course is ideal for Python developers, AI beginners, automation specialists, software engineers, data professionals, entrepreneurs, and anyone interested in building practical local-first AI agent projects.
Who this course is for:
- Python developers who want to move beyond basic chatbots and build autonomous AI applications.,Beginners in generative AI who already understand basic Python and want a practical introduction to AI agents.,Software developers who want to learn planning
- tool calling
- memory
- RAG
- and multi-agent orchestration.,Data scientists and machine learning practitioners who want to build interactive agent-based applications.,Automation developers who want AI systems that can perform tasks
- use tools
- and make controlled decisions.,Backend developers interested in integrating local language models into Python applications.,Students and professionals who want hands-on experience with Ollama
- Streamlit
- Pydantic
- Chroma
- and LangGraph.,Developers who want to build private
- local-first AI applications without relying on paid cloud-based LLM APIs.,Entrepreneurs and product builders who want to prototype AI assistants
- research agents
- workflow agents
- and multi-agent systems.,Technical instructors and course creators looking for practical AI-agent projects they can demonstrate or adapt.,Anyone who wants to understand how complete autonomous workflows are designed
- tested
- reviewed
- and deployed.,Learners who prefer project-based teaching and want to finish the course with multiple portfolio-ready Python applications.
Recommended Courses
Claude Capybara Mythos Mastery: Build Frontier AI Systems
FREE
Design, evaluate, and deploy next-gen Claude Mythos agents for coding, reasoning, and secure enterprise workflows
Enrolled
Agentic AI for Leaders: Orchestrating Human + Machine Teams
FREE
Lead human + AI teams with confidence, clear accountability, responsible governance, and measurable value.
Enrolled
AI-Powered Marketing Bootcamp
FREE
Build high-converting marketing systems using AI for content, SEO, ads, automation, and growth
Enrolled
Complete AI Architecture Bootcamp: From RAG to Agents
FREE
Build Enterprise AI Solutions with LLMs, Agents, MCP, Automation, Data Platforms, and Security
Enrolled
2 Week AI for Project Management Certification
FREE
Master AI-powered planning, documentation, reporting, risk management, automation, and PM workflows.
Enrolled
From Idea to MVP in 48 Hours
FREE
Build and launch a functional MVP in 2 days using AI, no-code tools, and rapid execution frameworks
Enrolled
Databricks for Data Engineers: Full Curriculum (Structured)
FREE
Build real-world pipelines, optimize data, apply governance, and create dashboards with Databricks & BI tools
Enrolled
7 Days RAG with Python: Build Chatbots That Talk to Data
FREE
Build PDF Chatbots, Semantic Search Engines, Vector Databases, and Enterprise AI Assistants with Python
Enrolled
Claude AI for Beginners: Prompting & Real-World Use
FREE
Learn Claude AI from scratch—prompting, writing, research, automation & real-world productivity use cases
EnrolledPrevious Courses
AI SEO & GEO Bootcamp: Rank in Search and AI
FREE
Master SEO, AI content, and GEO strategies to rank on Google, ChatGPT, and next-gen search engines in 7 days
Enrolled
Hands-On Certified AI Governance Engineering with Python
FREE
Build dashboards, test models, evaluate agents, monitor risks, and create a complete AI Governance Command Center
Enrolled
AI Agents: Build, Automate & Scale Workflows
FREE
Build, deploy & scale real AI agents using ChatGPT, APIs, LangChain & automation tools—no-code to advanced systems
Enrolled
Memento-Skills: Build Self-Evolving AI Agents
FREE
Design agents that learn from experience, evolve skills, and improve continuously without retraining models
Enrolled
AI Security Masterclass: Prompt Injection & LLM Security
FREE
Build, attack, and secure real-world LLM apps with RAG, tool calling, memory, AI agents, and Python.
Enrolled
Build Your AI Governance Framework in 7 Days
FREE
A practical 7-day course covering risk assessment, policy design, compliance, and monitoring — with hands-on labs daily
Enrolled
AI Agent Development with Python
FREE
Learn to create AI assistants, research agents, tool-using agents, and multi-agent applications.
Enrolled
Business Analytics with AI: ChatGPT, Claude, Gemini, Copilot
FREE
Learn practical AI techniques for business analysis, KPI tracking, reporting, forecasting, and decision-making
Enrolled
Certified Forward Deployed Engineer Mastery
FREE
Build, deploy, and deliver customer-ready AI systems from discovery to production
Enrolled