Written by the AgileFever editorial team. Program details were checked against the live program pages in October 2026. We run this program. Module and project names come from its published curriculum.
Each module on the page pairs a topic with a project. That is useful when you are deciding whether the course matches the work you do. The table below lists them together.
Modules and projects
| # | Module | Covers | Project |
|---|---|---|---|
| 1 | Python | Basics, NumPy and Pandas, JSON and APIs | A chatbot or data-parsing tool |
| 2 | Deep learning | ANN, CNN, RNN and LSTM | Not listed on the page |
| 3 | NLP | Text cleaning, word embeddings, sentiment analysis | Not listed on the page |
| 4 | Generative AI foundations | Model families, transformers | Images with GANs and diffusion |
| 5 | Prompt engineering | Zero-shot, few-shot, chain-of-thought, evaluation | QA systems and summaries |
| 6 | LLMs in depth | GPT, LLaMA, Claude and Gemini compared; OpenAI and Claude APIs | Text generator using an LLM API |
| 7 | Retrieval-augmented generation | FAISS, Pinecone, Weaviate, LangChain and LlamaIndex | A RAG chatbot over a knowledge base |
| 8 | Fine-tuning | LoRA, QLoRA, PEFT, Hugging Face | Support-ticket classifier on an open model |
| 9 | Multimodal generative AI | Text-to-image and text-to-video tools | Art and video from prompts |
| 10 | GenAI for code and productivity | Copilot-style tools and automation | Auto-generated code, reports or docs |
| 11 | Deployment and LLMOps | LangChain orchestration, Streamlit, Gradio, Docker, Hugging Face Spaces | A deployed app |
| 12 | Ethics, bias and safety | Prompt injection, hallucination control, IP | A moderation filter |
Count of the 12 modules
Additional discounts are available. Contact us to know more.
Reading the course honestly
- It is a build course. It expects working Python even though one page statement says anyone can register. The audience listed is Python developers, ML engineers, data scientists, analysts and AI engineers.
- It teaches image and video generation, which the GenAI and Agentic AI BootCamp mostly skips.
- It does not make agents the focus. For planning, memory and multi-agent systems, look at the GenAI and Agentic AI BootCamp.
- Modules 2 and 3 are the lightest on project detail on the page. Ask which concepts you will implement.
For help choosing between the two programs, read Gen AI BootCamp vs GenAI and Agentic AI BootCamp and AI and ML BootCamp vs Gen AI BootCamp. The older Gen AI BootCamp guide covers the basics, and the program page is the Gen AI BootCamp. If you need Python first, start with Python for AI (6 hours, free).
Questions people ask
Which capstone should I choose?
Pick the one nearest to a problem you face at work. LegalBot suits document-heavy teams, AI Tutor suits education or training content, and Resume Screener suits HR and recruiting workflows.
Are sessions recorded?
Yes. All AgileFever live sessions are recorded.
How many hours is it?
The headline says 72 hours over 9 weeks. One FAQ says 70. Ask an advisor for the current number before you decide.
