Is the Gen AI BootCamp right for complete beginners: check your starting point

Is the Gen AI BootCamp Right for Complete Beginners?

Table of Contents

Written by the AgileFever editorial team. Program details were checked against the live program pages in October 2026. We run this program. The details come from its program page, and where that page disagrees with itself we say so.

Short answer. It depends on what “beginner” means. If you have never written code, the Gen AI BootCamp is not the right first step: Python is one module out of twelve and the program moves to deep learning and NLP before it reaches generative AI. If you are an IT professional who can program but is new to AI, it fits, and the page suggests the free Python for AI course first if you are early in your career. The page says “anyone can register”, so treat that as an enrolment rule, not a readiness test.

The Gen AI BootCamp page gives two different signals. The audience list names Python developers, machine learning engineers, data scientists, data analysts and AI engineers. The prerequisites line says anyone can register and that basic Python is beneficial. A beginner reading both needs to know which one describes the experience of taking the course. This post goes through the program module by module and sorts the beginners into three groups, because the right answer differs for each.

What “beginner” can mean

If you are Fit for the Gen AI BootCamp? What to do first
New to programming Not yet Learn Python first. Python for AI is free and takes 6 hours, and it is a starting point, not a full programming education
A programmer new to AI Yes, with some preparation Python for AI to cover the libraries, then start. The first module reviews Python before the AI content begins
In IT but not a coder (project manager, business analyst, product owner) Probably not the best first step Consider the role-based course for your job, or The AI Blueprint (4 hours, free) to get oriented

Where a beginner meets the difficulty

The program has 12 modules and 72 hours. The page also says 70 hours in one FAQ, so confirm the current figure with an advisor. The table shows what each stage asks of you.

Module Topic What it asks of you
1 Python Functions, loops, NumPy, Pandas, JSON and APIs. A review if you code; a steep start if you do not
2 Deep learning Neural networks, ANN, CNN, RNN and LSTM. Needs comfort with the idea of training a model
3 NLP Text cleaning, embeddings, sentiment analysis
4 Generative AI foundations LLMs, diffusion models, GANs, transformer architectures
5 Prompt engineering Zero-shot, few-shot, chain-of-thought prompts, prompt testing
6 LLMs in depth Tokenisation, attention, calling OpenAI and Claude APIs
7 RAG Vector databases (FAISS, Pinecone, Weaviate), LangChain and LlamaIndex
8 Fine-tuning LoRA, QLoRA, PEFT, quantisation, Hugging Face
9 to 12 Multimodal, code and productivity tools, deployment and LLMOps, ethics and safety Streamlit, Gradio, Docker and moderation filters
Where the 12 modules sit (our grouping)

Count of modules

Foundations before generative AI (Python, deep learning, NLP)3
Core generative AI (foundations, prompts, LLMs, RAG, fine-tuning)5
Applied and deployment (multimodal, productivity, LLMOps, safety)4

Three of the twelve modules come before generative AI starts. That helps a beginner to AI who already codes, because the groundwork is in the course. It does not help someone who has not coded, because the pace of module 1 assumes you will move quickly.

A short self-test

You are ready for module 1 if you can do these without help: write a function that reads a JSON file and returns a filtered list, install a library and import it, and call a web API from a script. If any of those is new, spend a week on Python for AI first. If all three are easy, the first module will be review.

Additional discounts are available. Contact us to know more.

What the assessment and capstone ask

Every module ends with a practical exam, lab assessment or project. At the end of the 72 hours you choose a capstone: a legal assistant (LegalBot), an AI tutor, or a resume screener. Each is a full GenAI application, and the program lists nine projects in total.

Other places to start

If you want Look at Why
A free, short start with AI concepts The AI Blueprint (4 hours) or Python for AI (6 hours) Free and quick, and both are named as starting points on our program pages
A first AI program built around your job The role-based courses (12 to 16 hours each) They assume Python for AI first but are scoped to one role
Classical machine learning before generative AI The AI and ML BootCamp Statistics and models come before deep learning
Agents with memory and multi-agent systems The GenAI and Agentic AI BootCamp More modules on agent building

The page shows no list price, only a monthly EMI as low as $125, so ask an advisor for the current fee and cohort dates. For a side-by-side with the other bootcamps, read AI and ML BootCamp vs Gen AI BootCamp and Gen AI BootCamp vs GenAI and Agentic AI BootCamp. The module list is covered in the curriculum breakdown. The program page is the Gen AI BootCamp.

Questions people ask

Can I join with no coding experience at all?

The page says anyone can register. Our advice, based on the module list, is to learn Python first, because module 1 is a review for programmers and a hard start for everyone else.

Is basic Python enough?

Basic Python is what the page calls beneficial. You will move faster if you are comfortable with functions, libraries and APIs.

Are sessions recorded?

Yes. Live sessions are recorded.

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