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Generative AI, LLMs & AI agents
GenAI & Machine Learning Bootcamp
A hands-on, GenAI-focused program to move from theory to production-ready skills: Machine Learning, Deep Learning, LLMs, RAG and agentic AI.
The program
From theory to production-ready skills
A hands-on, GenAI-focused program to design intelligent systems: analyze data, recognize patterns, automate tasks and build AI-powered applications with Python, TensorFlow and PyTorch.
The curriculum runs from Python and data to Machine Learning, Deep Learning, LLMs, RAG architectures, open-source LLMs and agentic AI, and ends with a production-deployed capstone presented at Demo Day.
Prerequisites
- No technical background required
- Basic English
- Strong motivation to learn
- A keen interest in a tech and AI career
The skills companies are hiring for
01
Master the modern AI stack
ML models, AI pipelines, LLMs, RAG, AI agents and applications, from data to deployment.
02
Learn on real business cases
Projects inspired by real use cases build the reflexes of AI professionals.
03
Build an AI portfolio
Projects that prove you can design, implement and deploy AI solutions.
04
Target AI roles
Solid foundations in ML, Deep Learning, prompt engineering and AI agents, aligned with the market.
The curriculum
10 modules + a production capstone
From Python fundamentals to RAG architectures and multi-agent systems, with a hackathon and a Demo Day.
Bootcamp Prep4 topics
- Understand core AI and GenAI concepts
- Use ChatGPT and AI assistants effectively and responsibly
- Explore AI’s impact on daily life and business
- Start coding confidently in Python
Python Fundamentals4 topics
- Write clean, structured Python code
- Variables, conditions and functions
- Programming logic applied to real problems
- Object-oriented programming concepts
Data Processing & Visualization3 topics
- Load, clean and preprocess real datasets
- Transform raw data and analyze it efficiently
- Visualize and report insights
Applications for Data Analysis3 topics
- Numerical data and arrays with NumPy
- Statistics, time series and scientific computing
- Prepare datasets for real AI use cases
Introduction to Machine Learning4 topics
- Supervised classification and regression models
- Feature engineering and model tuning
- Clustering, dimensionality reduction and unsupervised learning
- Applied statistics: A/B and hypothesis testing
Deep Learning4 topics
- Design and train neural networks
- Forward and backward propagation, loss functions, gradient descent
- Regularization against overfitting
- CNNs, RNNs, LSTMs and ResNets
LLMs & Generative AI4 topics
- From Deep Learning to Transformer models
- Attention mechanisms and modern LLM architectures
- Choose the right model family for each use case
- NLP pipelines: preprocessing, embeddings, classification
NLP & RAG Architecture4 topics
- Semantic vs keyword search
- Production-grade text embeddings
- Complete RAG pipelines, from ingestion to vector storage
- Vector databases and hybrid search
Prompts & Open-Source LLMs4 topics
- High-impact prompts: accuracy, reliability, consistency
- Run quantized open-source LLMs locally
- Orchestrate workflows with memory, chains and vector databases
- Optimize performance, cost and speed
Agentic AI4 topics
- Agents that think, act and adapt in real time
- Connect models to tools and APIs via modern protocols
- Multi-agent architectures: planning, delegation, coordination
- Memory, reasoning loops and robust error handling
Capstone Project & Demo Day4 topics
- Define a real business or technical problem
- Design the AI architecture and data pipeline
- Train, evaluate and optimize models
- Deploy a production-ready AI system and defend it live
This curriculum may evolve to stay aligned with market needs.
The tech stack
- Python
- Pandas
- NumPy
- SciPy
- Matplotlib
- Seaborn
- Scikit-learn
- MLflow
- PyTorch
- TensorFlow
- Keras
- Hugging Face
- Transformers
- LangChain
- LlamaIndex
- Weaviate
- FAISS
- Mistral AI
- Ollama
- CrewAI
- LangGraph
- n8n
- ChatGPT
- Claude
- Gemini
- Jupyter
- Google Colab
- VS Code
- Git
- GitHub
- DigitalOcean
- AWS
Optional add-on
AWS Certified Cloud Practitioner certification prep
A globally recognized credential that validates your cloud knowledge — plus a self-paced "AWS Cloud Fundamentals" course to understand how AI systems are deployed and scaled.
Certification exam fees may apply.Careers
Roles you can target after the bootcamp
Our career consultants support you as you enter the tech industry, with mock interviews and follow-up until you sign your first contract.
- AI Developer
- Prompt Engineer
- LLM & AI Specialist
- AI Product Manager
- AI Solution Specialist
- AI Integration Specialist
- NLP Engineer
- AI Data Curator
- AI Ethics Officer
- Chief AI Officer (CAIO)
Access to career services
CV creation
A CV that highlights your experience, skills and projects.
Career coaching
Continuous, personalized support until you sign your first contract.
Job-search plan
Job hunting is a job in itself: organize it with the Job Tracker tool.
Mock interviews
Practice technical and HR interviews with our career consultants.
Networking
Leverage the Developers.Institute network and events to multiply opportunities.
Tuition & financing
Invest in your career
At Developers.Institute, we believe cost should never be a barrier to a lasting career.
Full-time
3 months
Monday to Friday, 9:30 am – 4:30 pm, with supervised hands-on sessions.
Ideal for career changers ready to fully commit
Single fee600 000 FCFA
- On-site
- Hybrid
- Online
Part-time
6 months
A pace that fits around a job or your studies.
Ideal for working professionals and students
Single fee600 000 FCFA
- On-site
- Hybrid
- Online
Flex
Self-paced
Maximum flexibility, with structured guidance from the teaching team.
Ideal if your schedule is busy
Single fee600 000 FCFA
- On-site
- Hybrid
- Online
Same fee whichever option you choose. Pay upfront or in 3 installments (administrative fees may apply).
What your tuition includes
- The full bootcamp, on-site, hybrid or online
- Hands-on projects, hackathons, capstone project & Demo Day
- A 2-month internship opportunity
- Lifetime career services and coaching
- Bootcamp for Life: lifetime access to all courses
- International alumni network & OCTOPUS learning platform
Payment options
- Upfront payment — pay the full amount before the course begins to secure your spot.
- Installments — three installments, on a schedule agreed with admissions (administrative fees may apply).
Scholarships & financing
Installment plan
Pay your tuition in 3 installments, on a schedule agreed with admissions before you start.
Early-bird tuition
Preferential terms for any enrollment confirmed before the session opens. Limited seats per cohort.
Merit scholarship
For candidates with an outstanding admission file: partial coverage of tuition fees.
Employer funding
Training agreement for employees upskilling, with direct invoicing to the company.
Student & recent-graduate rate
Adapted terms on proof of status, can be combined with the installment plan.
Which option fits you?
Our admissions team reviews your eligibility and helps you combine the right funding options.
Book a meetingAdmission
How to join the bootcamp
Motivation, a passion for innovation, problem-solving skills and determination are the key qualities to succeed.
- 01
Take the first step
Application
Submit your application in a few minutes and choose the start date that suits you.
- 02
Show your motivation
Interview
A conversation with an admissions advisor and a pre-admission assessment. No technical skills required: your motivation is what matters.
- 03
Lock in your future
Secure your spot
Once accepted, pay your deposit to confirm your seat and unlock the pre-bootcamp preparation resources.
Start my applicationFree, no commitment · Reply within 2 business days
Dates & tuition
| Program | Next start | Options | Tuition | |
|---|---|---|---|---|
| Flexible dates — your choice | 3 months full-time · 6 months part-time · Flex | 600,000 FCFA | Apply |
Testimonials
What our alumni say
Learning in a bootcamp can be intense and overwhelming — very normal. At Developers Institute they cover lots of material and they help you along the way. For a bootcamp, it’s a great set-up with good teachers. They help you build a community that you stay connected to and help you find an internship.
Valentin Ezane Yedie2021 alumnus · Head of Department at MINDT
After more than twenty years analyzing, structuring, and solving complex problems in life sciences, data, and innovation, I chose this program to take a decisive step forward: not just to use AI, but to master its logic, models, and advanced tools. Today, building models, working with LLMs, and developing my own solutions has become a real pleasure.
Michel L.AI & Machine Learning cohort 2025
What impressed me most was the teaching approach: even complex AI concepts were made accessible through hands-on projects, real use cases, and constant support from the instructors. Despite having no technical background, I was able to build strong skills in AI tools, automation, and business strategy.
Sarah M.AI Bootcamp
The classes were convenient to attend either in person or online, which was essential for me as a mom of school-aged kids, all in a friendly environment. Everything you put into the program, you get back in return. I highly recommend Developers.Institute.
TamarGraduated 2026 · part-time
The course is really well-structured: after a concise and straightforward introduction to the topic, you jump right into practice with lots of exercises and practical examples. The atmosphere is friendly and supportive, and the instructors are super helpful.
NadezhdaGraduated 2024
FAQ
Frequently asked questions
Do I need technical knowledge?
No technical background is needed. Basic English is required, along with strong motivation and a keen interest in a tech and AI career.
How long is the bootcamp?
3 months full-time, 6 months part-time, or at your own pace with the Flex option.
What is the schedule?
Monday to Friday, 9:30 am to 4:30 pm, with supervised hands-on sessions.
How much does it cost?
600,000 FCFA, a single fee for all options. Pay upfront or in 3 installments (administrative fees may apply).
When does the next session start?
You choose your start date when you apply. Seats are limited per cohort: apply early to benefit from early-bird tuition.
Is there an internship?
Yes. After the program, we help you land a two-month internship to gain real-world experience and strengthen your resume.
How do I enroll in the GenAI & Machine Learning Bootcamp ?
Submit your application online, have a motivation interview with an admissions advisor, then pay your deposit to secure your seat.
Now enrolling
Ready to launch your AI career?
Apply in a few minutes or talk to an admissions advisor. No technical background needed — your motivation is enough.