Written by the AgileFever editorial team. Facts checked on November 12, 2026 against the official pages of the organizations named in this post. AgileFever sells training for some of the topics covered here, and we say so wherever it applies. Course hours, prices and batches are from AgileFever’s own product pages on that date. Technical claims about agents are checked against Anthropic’s engineering guidance.
An agentic AI workshop and an agentic AI bootcamp are sold with the same words and teach different things. The label tells you almost nothing, because no body sets a standard for either. This post defines both by what a learner can do at the end, gives you a decision table by goal and hours, and ends with a checklist that works on any provider’s page. If you are new to the topic, start with what agentic AI is and come back.
What an agentic AI workshop is, and what a bootcamp is
Define the formats by outcome, not by length. Hours matter, but the outcome decides whether the format fits.
| Workshop (half day or one day) | Bootcamp (several weeks) | |
|---|---|---|
| Typical live time | 3 to 8 hours | 40 to 80 hours spread over weeks |
| What you can do at the end | Explain how an agent differs from a fixed workflow. Name the common patterns. Run one guided build. Judge whether a task suits an agent. | Build several agents on your own, wire them to tools and data, test them against cases you wrote, deploy one, and defend design choices. |
| Practice you do alone | Almost none. The build happens in the room. | Weeks of assignments between sessions. |
| Feedback on your own work | Questions in the session | Written or live review of what you built |
| Best for | A first decision, a team that needs shared vocabulary, a manager who must sponsor or reject agent projects | An engineer who will build and run agents at work |
The ranges are typical formats for planning, not a standard. Read each provider’s agenda for the real hours.
AgileFever sells both shapes. We list Creating Agents in ChatGPT, Creating Agents using Claude and Creating Agents in Copilot Studio as 4-hour live programs, each with four modules and four hands-on labs. We also run the 8-week GenAI and Agentic AI BootCamp. The next sections use them as the two examples. Read the pages here: Creating Agents in ChatGPT, Creating Agents using Claude, Creating Agents in Copilot Studio and the GenAI and Agentic AI BootCamp.
The two AgileFever formats side by side
These facts come from the product pages on November 12, 2026. Rupee prices are before the 18% GST that AgileFever adds at checkout for buyers in India.
| Creating Agents short programs (ChatGPT, Claude, Copilot Studio) | GenAI and Agentic AI BootCamp | |
|---|---|---|
| Length | 4 hours live, four modules, four labs | 74 hours: 64 live plus 10 self-paced, over 8 weeks |
| Live rhythm | One session | Weekday cohort: Tuesday to Friday, 2 hours a day. Weekend cohort: Saturday and Sunday, 4 hours a day. |
| What you build | One agent around a business workflow, tested and refined in the labs | 14+ projects and 9 domain capstones, per the page |
| Prerequisites | ChatGPT and Copilot Studio: no programming. Claude: basic programming, Git and terminal. | Basic Python and at least 2 years of IT experience. Python is not taught in the live sessions. |
| Price | Quoted on request | $2,000 or ₹85,000 per seat |
| Next batch | Quoted on request | Nov 24, 2026 to Jan 21, 2027 (INR listing); Nov 23, 2026 to Jan 20, 2027 (USD listing) |
Source: AgileFever product pages, read on November 12, 2026. Prices as listed on that date.
Additional discounts are available. Contact us to know more.
The big difference is not the 4 hours against 74. It is what happens between sessions. In the short programs you leave with one working agent from a guided lab. In the bootcamp you build, break and rebuild across weeks, and the page lists instructor guidance and project reviews. For the module list and prices of the long format, see the GenAI and Agentic AI BootCamp guide, its cost breakdown and the reviews post.
Same scale for each bar. The short programs are the workshop-length example.
Source: AgileFever product pages, read on November 12, 2026. The bootcamp has 16 times the live time of a short program, and every extra hour is practice and review.
Agentic AI workshop or bootcamp: a decision table
Match your row, not your job title. The budget column matters as much as the hours, because the person who pays often decides the format.
| Your situation | Goal | Hours you can give | Individual or team | Need hands-on review? | Budget owner | Fit |
|---|---|---|---|---|---|---|
| Manager who must approve agent projects | Judge ideas, ask better questions | 4 to 8 hours total | Individual or leadership team | No | Department or L&D | Workshop |
| Team new to agents, needs one shared model | Same vocabulary, one working prototype | 1 day, once | Team | Light | Department head | Workshop, ideally private |
| Analyst or developer testing an idea | Build one agent for a real workflow | 4 to 8 hours, plus time to try it | Individual | No | Self or manager | Workshop |
| Engineer moving into agent work | Build, test and deploy several agents | 8 or more hours a week for 6 to 8 weeks | Individual | Yes | Self or employer | Bootcamp |
| Team that will run agents in production | Shared standards for evaluation, safety, deployment | A few weeks, some hours each | Team | Yes | Engineering head | Workshop first, then bootcamp for the builders |
| Anyone with under 5 hours a week free | Learn at your own pace | Under 5 hours a week | Individual | Optional | Self | Self-study first; see below |
Two patterns matter. First, an agentic AI workshop followed by a bootcamp for the people who will build is often cheaper than putting everyone through the long format. Second, if only some of a team will build agents, train the builders deeply and everyone else lightly. For a group, in-house versus public cohort training explains when a private session pays off.
What a good agentic AI workshop must teach
Any format should match how agents are actually built. Anthropic’s engineering guidance, Building effective agents (published December 19, 2024, read November 12, 2026), is a useful yardstick. It makes these points:
- Workflows and agents are different. In a workflow, code paths are predefined and the model fills steps. In an agent, the model directs its own process and tool use. A workshop that blurs the two is selling the label.
- There are five common workflow patterns: prompt chaining, routing, parallelization, orchestrator-workers and evaluator-optimizer. A learner should be able to name them and pick one.
- Start simple. The guidance says to use the simplest solution possible and add complexity only when needed. Agents trade latency and cost for performance, and for many applications a single well-built model call with retrieval is enough.
- Test before you trust. It recommends extensive testing in sandboxed environments with guardrails, human checkpoints, and stopping conditions such as a maximum number of iterations.
- Frameworks can hide what is happening. Abstraction layers can obscure prompts and responses and make debugging harder, so learn what the code does underneath.
Now map those to the two formats. A one-day agentic AI workshop can teach the first two points well and the third by example. The last two need repetition. You learn sandbox testing by breaking your own agent several times, which is bootcamp territory. A workshop can still show one failure case and one human checkpoint, and a good one will.
| Skill from the guidance | Workshop can teach | Needs a longer course |
|---|---|---|
| Tell a workflow from an agent | Yes, in the first hour | |
| Name and choose a pattern | Yes, with one worked example | Building each pattern yourself |
| Decide not to use an agent | Yes, as a decision framework | Practice on your own cases |
| Evaluate with test cases | A demonstration | Writing and running your own test set |
| Add guardrails and human checkpoints | One example | Designing them for a real workflow |
| Deploy and monitor | Rarely | Yes |
Our reading of the guidance, mapped to formats. The guidance does not rank training formats.
What you can build in one day and in several weeks
The table shows what a learner can realistically produce. It is an illustrative example for planning, not data from any cohort.
| Output | One-day workshop | Multi-week bootcamp |
|---|---|---|
| Agents built | 1, guided, in the room | Several, increasing in difficulty |
| Tools connected | 1 or 2 prepared ones | Several, including ones you wire yourself |
| Test cases written | A few, as a demonstration | A set you keep and rerun |
| Deployed somewhere others can use it | Shared inside a workspace, if the platform allows | Yes, as a project requirement |
| Reviewed by an expert | Informal feedback | Structured review of your code or design |
| Usable on Monday | A prototype to show the team | A portfolio piece or a first production candidate |
Illustrative example. Not data from any AgileFever cohort.
What an agent is, how it differs from a fixed workflow, and where models fail.
The five workflow patterns. A scoring sheet for whether a task needs an agent at all.
Build and run one agent against a workflow the group chooses. Instructor circulates.
Write a handful of cases, find where the agent fails, add one human checkpoint.
Each person leaves with one use case scored, and a decision: build, wait or skip.
Illustrative example. Total 360 minutes. A real agenda varies, so read it before you book.
What the hours and money add up to for a team of 10
A budget owner pays in two currencies: seat price and working time. The bootcamp numbers below multiply the single-seat listing and live hours on the product page. Group discounts change the price, and the page lists a discount for two or more participants.
| 4-hour short program | GenAI and Agentic AI BootCamp | |
|---|---|---|
| Live person-hours for 10 people | 40 | 640 (740 with self-paced) |
| Seat price at the listed single-seat price | Quoted on request | $20,000 or ₹8,50,000 before GST |
| Calendar time | 1 day | 8 weeks |
Multiplication of the listed hours and prices on November 12, 2026. It is not a quote for a private cohort.
Additional discounts are available. Contact us to know more.
Time is the larger cost of any agentic AI workshop or bootcamp for most employers. Ten engineers away for 8 live hours a week is a real planning decision. That is why a team often starts with one day, picks two or three builders, and sends only them to the longer format.
How to test any format before you pay
These ten checks work on any provider, including us. Ask for the answers in writing.
Can the provider say what you will be able to do, as an action, not a topic?
How many live hours, how many self-paced, how many are labs you do yourself?
How many agents will you build, and does the agenda name them?
Do you write test cases and run them against your agent?
Does the course show the agent failing, and what you do about it?
Does it teach checkpoints, permissions and stopping conditions?
Do you ship something that other people can use?
Who looks at your work, and how fast do they answer?
Does the stated level match your skills, or will you fall behind in week one?
Seat price, tool subscriptions, taxes and the hours you give up.
Run the same checklist on free options too. Free LLM courses in 2026 gives a learning path, and How to learn agentic AI lays out the roadmap if you want to test your commitment before paying.
Who should not buy the longer format
- You have no Python. The bootcamp needs basic Python and does not teach it in live sessions. Take a Python course first, or choose a no-code workshop.
- You cannot give 8 hours a week. A cohort moves on without you, and recordings do not give you live review.
- You need a vendor exam. The Claude and Copilot Studio short programs say they are not certification-prep programs, and the ChatGPT page says no official certification exists for it.
- You only want to decide. An agentic AI workshop or a good guide answers whether to use agents. A bootcamp answers how to build them.
Questions people ask
What is the difference between an agentic AI workshop and a bootcamp?
A workshop runs a few hours to one day and gives you concepts, one guided build and a decision framework. A bootcamp runs for weeks, with several builds, evaluation, deployment and review of your work. AgileFever’s short programs are 4 hours and its bootcamp is 74 hours over 8 weeks.
How long does an agentic AI workshop last?
Formats vary from 2 hours to a full day. AgileFever’s Creating Agents programs run 4 hours live with four modules and four labs. Read the agenda for the minutes given to building against minutes of talk, because the label does not set the length.
Can I learn enough in one day to build agents at work?
You can build one prototype and judge where agents fit. You will not have a tested, deployed system. Anthropic’s guidance recommends testing in sandboxed environments with guardrails, which takes repetition. Treat a workshop as the start of the work.
Is an agentic AI workshop good for a whole team?
Yes, when the team needs shared vocabulary and a first prototype. Hold it privately if the team’s own workflows should be the lab material. Then send two or three people who will build to a longer course. See our post on in-house versus public cohorts.
Do I need to know how to code for a workshop?
It depends on the program. AgileFever’s ChatGPT and Copilot Studio programs list no programming requirement, while the Claude program expects basic programming, Git and terminal use. The bootcamp expects basic Python and at least 2 years of IT experience.
Is GST added to the rupee prices?
Yes. AgileFever adds 18% GST at checkout for buyers in India, and rupee prices on course pages are before GST.
