Your entry point into agentic AI
Join 50,000+ learners from 140+ countries in this beginner-friendly, self-paced program to learn how today's AI assistants are built — and create your own from scratch.
The foundations behind modern AI assistants and chatbots
Watch real instructional videos used inside the Agentic AI Essentials curriculum
Learn how Chain of Thought, ReAct, and Self-Ask are implemented as modular reasoning strategies in production-ready agentic AI systems.
The video also shares the real-world story behind Ready Tensor's founding, highlighting the industry lessons that shaped our focus on reuse and scalability.
Build portfolio-grade projects and stand out to employers
This program is open for enrollment. Join today for free.
This is a self-paced AI program focused on helping you build your first real AI assistant.
You'll apply what you learn by completing one hands-on project from start to finish.
The goal is simple: understand how modern AI assistants work by building one yourself.
You'll get full access to all lessons, walkthrough videos, and example code.
The program ends with one capstone project: a working AI chatbot.
Learn and showcase the AI skills top employers are hiring for
Custom RAG Workflow
LangGraph RAG Assistant
A LangGraph-powered assistant that answers complex questions using real documentation. Built with Qdrant, and ReAct-based reasoning.
Knowledge RAG Assistant
RAG System with FAISS
A production-ready RAG assistant built with LangChain and FAISS to answer questions from a structured JSON knowledge base.
Multi-Agent Research System
Cerebral Collective
A multi-agent research assistant with human oversight, built using FastAPI and local LLM inference.
Multi-Agent RAG Assistant
Lumigo Academic Q&A
A modular Q&A system for academic documents with transparent citations, fallback thesis search, and multi-agent orchestration.
Build and publish your own with the Agentic AI Essentials Program
This program is open for enrollment. Join today for free.
Learn from an Industry Leader with Real-World AI Expertise
Answers to common questions about the Agentic AI Essentials Program.
This program is ideal for learners who are new to agentic AI and want to start building real AI assistants. It's a strong fit for software engineers, data scientists, students, and product-minded builders who want to understand how modern AI assistants actually work. This is a code-driven program, and you'll work with real Python code throughout.
Yes. The program assumes no prior experience with agentic AI and introduces concepts step by step, starting from fundamentals and building toward a complete, working project.
You should be comfortable with basic Python concepts such as functions, variables, classes, and running scripts. Advanced Python, machine learning, or deep learning expertise is not required.
No formal background in machine learning, deep learning or data science is required. Familiarity with basic programming and APIs is sufficient to succeed in the program.
Most learners complete the program in about 2-3 weeks, depending on their pace and prior experience.
The learning is fully self-paced. Project submissions are reviewed in monthly cycles, but you can submit your project whenever you're ready.
You'll need an LLM API key. The program is designed so you can complete it using free-tier or low-cost tools.
The skills in this program are commonly used in AI Engineer and Machine Learning Engineer roles, especially for building LLM-powered applications like RAG systems, knowledge-base assistants, and internal AI tools. More advanced skills are covered in the other Agentic AI programs on Ready Tensor.
Enroll in the Agentic AI Essentials program and start building real AI assistants.
This program is open for enrollment. Join today for free.