Build AI Agents That Do More Than Answer Questions: 5 Programs to Compare

AI agents have advanced from simple chatbot systems to advanced solutions that collect data and communicate with other tools. AI agents can be used across industries and sectors of the economy for many tasks, from business processes and customer support to research and workflow automation.

Several factors should be considered when developing such systems, including knowledge of tool-call processing, APIs, memory, agent choreography, evaluation, and reliability. What matters depends on the application goals, i.e., whether AI is used to automate the same tasks or create business products.

5 courses cover various aspects of AI agents, including commercial use, no-code tools, technology fundamentals, enterprise architecture, and production systems.

Overview of 5 AI Agent Programs

Post Graduate Program in AI Agents for Business Applications – McCombs School of Business at The University of Texas at Austin

The Post Graduate Program in AI Agents for Business Applications by McCombs School of Business at The University of Texas at Austin concentrates on developing AI agents for business processes. This AI agent course consists of theoretical knowledge plus practical methods in business processes.

Delivery and duration: Online course (12 weeks), consisting of recorded materials, mentorship sessions, as well as hands-on practical skills.

Credentials: Certificate of Completion and 2.5 CEUs from Texas McCombs.

Program highlights: Generative AI, LLMs, RAG, agentic RAG, LangChain, LangGraph, MCP, planning, memory, tool integration, multi-agent systems, agent evaluation, and responsible AI.

Outcomes: Students create AI agents capable to retrieve information regarding business processes, using tools, and performing well-organized business processes. The students can use either coding or no-code methods based on their current knowledge.

Why should you choose this course?

The course emphasizes no-code productivity automation. Therefore, it is highly appropriate for specialists lacking programming skills.

The practical projects illustrate how AI technologies function together to solve repetitive business problems.

Agentic AI Engineer with LangChain and LangGraph – Udacity

Udacity’s Agentic AI Engineer with LangChain and LangGraph Nanodegree program teaches you to create advanced AI agents capable of using external tools, collecting information, and performing multi-step tasks. The program is for Python developers who want to take their LLM expertise to the level of agent-based systems.

Course Availability: Online, self-paced, with 26 hours of learning content split into three courses and three projects.

Certification: Udacity Nanodegree program certificate upon successful course completion.

Program Highlights: LangChain, LangGraph, structured outputs, tool calling, communication with external APIs, RAG, database agents, short-term and long-term memory, human-in-the-loop controls, and observability.

Outcomes: Learners build agents that will deal with documents, create reports, collect data from databases, and perform multiple tasks. They work on building a report agent, an energy agent, and an autonomous knowledge agent.

Why you should take this course:

• • The course has practical components using LangChain and LangGraph frameworks.
  • The program features projects that will show how AI can be used to retrieve information, calculate data, work with APIs, and perform specialized tasks.

AI-Native Professional: Workflows and Agents for Productivity- Great Learning

The AI-Native Professional: Workflows and Agents for Productivity by Great Learning aims to teach students how to utilize AI tools to handle everyday business activities. This AI agent development course is meant for those who want to learn how to create automation without the help of coding.

Duration and Delivery: The course is conducted online over the span of 6 weeks, consisting of live sessions once a week, with approximately 3 to 4 hours of study per week.

Credentials: Professional certificate from Great Learning.

Program highlights: Structured prompting, artificial intelligence using research and document analysis, multi-tool workflows, Activepieces, no-code automation, AI agents, and safe use of AI.

Outcomes: Students create useful workflows such as the email sorting assistant, research bot, and competitive intelligence agent. There is a final project that uses all the tools of ai and combines them in a single workflow.

Why enroll in this course?

It deals with technology while allowing professional learners as well as individuals with no programming skills.

• • Participants will work on actual case studies demonstrating how AI tools can be utilized in business operations.

Certificate in Agentic AI Solutions for Managers – Georgetown University

Georgetown University’s Certificate in Agentic AI Solutions for Managers specializes in creating AI agents that help resolve business challenges, facilitate workflows, and assist with decision-making processes. It provides managers and innovators with an understanding of the integration of autonomous AI systems into business operations.

Format and Length: Online, total duration of 6 weeks, including the participatory course sessions, self-paced learning activities, and assignments. A total of 32 contact hours is included in the course.

Credentials: Georgetown University certificate and 3.2 Continuing Education Units (CEUs).

Program Features: Fundamentals of Agentic AI technology, large-scale language models, vector databases, autonomous decision-making capabilities, design of workflows, and techniques of Vendor-Agnostic development of AI agents.

Outcomes: Students will learn how to create agent-based solutions, identify possibilities for workflow optimization, and use AI agents for different problems with proper human control.

Why should you choose this course:

• • It highlights the business applications of AI agents, which makes it quite useful for managers willing to optimize various operational processes.
  • Its vendor-agnostic approach allows the students to evaluate different agent solutions without being limited to one AI tool.

Applied Agentic AI- University of San Francisco

The University of San Francisco Applied Agentic AI certificate program is geared towards employees who want to learn how to create artificial intelligence agents with no programming knowledge. This is done using Claude Desktop in order to illustrate how agents perform tasks, connect to various tools, find information, and complete workflows.

The program involves both instructor-led learning and practical exercises.

Delivery and Duration: Five days, offline and online live sessions. The program takes around 20 hours in total.

Credentials: Certificate from the University of San Francisco and 2 CEUs.

Program highlights: LLM Basics, prompt engineering, agent planning, tool calling, Claude Desktop, APIs, Model Context Protocol (MCP), RAG, human-in-the-loop controls, assessment, and ethical AI.

Outcomes: Students create an AI agent to solve a real-life problem, test it, and present it during a final show.

Why should you choose this course:

It provides practical agent development without requiring knowledge of programming languages such as Python.

The program-based format allows participants to build, test, and present a working agent within five days.

Ultimately, the choice of online agentic AI courses depends on applicants’ level of technical sophistication and the hands-on training they need. Entrepreneurial courses deal mostly with the operational aspects of introducing agentic AI in corporate environments. In contrast, science courses focus on agentic AI theory.

Creating an AI agent does not guarantee smart operations. A successful agent must understand the nature of its tasks, use the right tools, maintain context, and recognize when it makes mistakes.