Large language models for everyone
Master the fundamentals of LLMs — from prompt engineering to RAG and fine-tuning
Who is this bootcamp for?
Data scientists & analysts
Extend your skills into the era of generative AI and large language models.
Software engineers
Build LLM-powered applications using modern APIs and orchestration frameworks.
Business professionals
Understand how to leverage LLMs for automation, content generation, and decision support.
Meet the instructors
Learn from practitioners who build and deploy AI systems at scale
Curriculum
7 modules covering the full spectrum of theory and practice
Introduction to generative AI
Key topics
- What is generative AI?
- History and evolution of LLMs
- Key terminology and concepts
- Use cases and applications
Understanding large language models
Key topics
- Transformer architecture overview
- GPT, BERT, and modern LLMs
- Tokenization and embeddings
- Model sizes and capabilities
Prompt engineering
Key topics
- Zero-shot and few-shot prompting
- Chain-of-thought prompting
- Prompt templates and best practices
- Avoiding hallucinations
Embeddings and semantic search
Key topics
- What are embeddings?
- Vector similarity and distance metrics
- Building semantic search systems
- Embedding APIs and libraries
Retrieval-augmented generation (RAG) & fine-tuning
Key topics
- RAG architecture and pipeline
- Fine-tuning vs. prompt engineering
- When to fine-tune an LLM
- Tools: LangChain, LlamaIndex, Hugging Face
AI risks, ethics, and responsible use
Key topics
- Bias and fairness in LLMs
- Hallucinations and factual accuracy
- Privacy and data security
- Regulatory landscape
Bonus resources
Key topics
- LLM API quick reference
- Curated reading list
- Community and next steps
- Career pathways in AI
What's included
- 7 comprehensive modules covering the full LLM stack
- Hands-on exercises with OpenAI, Hugging Face, and LangChain
- Access to a community of 20,000+ data science practitioners
- Certificate of completion from Data Science Dojo
- Office hours with expert instructors
Frequently asked questions
- When will the course launch?
- The course is currently in development. Join our newsletter to be notified when it launches.
- Is this course suitable for beginners?
- Yes. The course is designed for learners with basic programming knowledge who are new to LLMs and generative AI.
- What tools and libraries will I use?
- The course uses Python, the OpenAI API, LangChain, and Hugging Face — all industry-standard tools for building LLM applications.
- Will there be a certificate?
- Yes. Learners who complete all modules and assessments will receive a certificate of completion from Data Science Dojo.
