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Introduction to AI and Agents: Building AI Assistants
New
122 students
Introduction to AI and Agents: Building AI Assistants
Understand how AI works, master prompting, explore OpenAI tools, and build your first AI assistant.
Created byNavdeep Yadav
Last updated 10/2026
English
What you'll learn
- Explain how Large Language Models generate responses.
- Understand tokens and their impact on AI costs.
- Differentiate between system prompts and user prompts.
- Explain context windows and AI memory limitations.
- Navigate the OpenAI platform and its tools.
- Understand how AI models process text inputs.
- Write clearer prompts for more useful AI responses.
- Understand the role of instructions in AI applications.
- Explain how AI uses external tools.
- Understand Retrieval-Augmented Generation (RAG).
- Explain how vector databases support AI retrieval.
- Understand how AI retrieves relevant information.
- Explore a practical customer support AI assistant.
- Identify components of a basic AI application.
- Apply foundational AI concepts to real-world products. Copy all 15 objectives
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Course content
4 sections • 17 lectures • 1h 57m total length
Requirements
- No prior artificial intelligence experience is required.
- Basic computer skills and internet access.
- Curiosity about AI and modern technology.
- An OpenAI account for following platform demonstrations. Copy all prerequisites
Description
Understand AI. Explore LLMs. Build Your First AI Assistant.
Artificial Intelligence is transforming how businesses operate, how products are built, and how people work. But how does AI actually work? What are tokens, context windows, system prompts, and vector databases? And how can you use these concepts to build real AI applications?
In this practical, crash course, you'll learn the essential concepts behind modern AI and Large Language Models (LLMs) without getting lost in complex mathematics or programming theory.
Whether you're a student, aspiring product manager, business professional, or simply curious about AI, this course will help you build a strong foundation and understand how modern AI applications work.
What you'll learn
Understand how Large Language Models generate responses.
Learn what tokens are and why they matter.
Understand system prompts and user prompts.
Discover context windows and why AI forgets information.
Explore the OpenAI platform and its capabilities.
Understand tool use, Retrieval-Augmented Generation (RAG), and vector databases.
Build a practical customer support AI assistant.
Learn by exploring practical examples
This course goes beyond definitions. You'll explore the OpenAI platform and see how core AI concepts come together in a customer support assistant example.
You'll understand how AI can retrieve relevant information, use external tools, and provide more useful responses in real-world applications.
Who should take this course?
This course is ideal for beginners who want to understand AI without spending weeks learning technical concepts. It is especially useful for students, product managers, entrepreneurs, business professionals, and aspiring AI builders.
Why take this course?
Short and focused: Learn the essentials in approximately one hour.
Beginner-friendly: No previous AI experience required.
Practical: Connect foundational concepts to real AI applications.
Career-relevant: Build knowledge useful for working with AI-powered products.
By the end of this course, you'll have a clearer understanding of how modern AI works, the terminology used by AI practitioners, and the building blocks behind practical AI assistants.
Start your AI journey today and turn curiosity into practical understanding.
Who this course is for:
- Students exploring artificial intelligence for the first time.
- Product managers learning to build AI-powered products.
- Business professionals exploring practical applications of AI.
- Beginners curious about LLMs, prompting, and AI assistants. Copy all target audiences