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Course Outline
Module I: Fundamentals of Large Language Models
1. Mechanisms and architecture of generative models
2. Key concepts – tokens, temperature, other LLM parameters
3. Context window and its limitations
4. The phenomenon of hallucination and strategies to minimize it
5. Principles of effective prompt engineering
6. Prompt formatting techniques (few-shot learning, chain-of-thought)
7. ChatGPT interface – capabilities and limitations
8. OpenAI platform – playground, models, API key management
9. Differences between APIs and SDKs
10. Overview of available models and their applications
Module II: Communicating with Models in Python
1. Basics of API requests using the requests library
2. Official OpenAI SDK
3. Handling API responses and formatting results
4. Structured output – enforcing a specific response structure
6. Streaming responses in real-time
7. LangChain framework
9. OpenRouter as an aggregator for accessing various models
Module III: Text Vector Representation
1. Concept of text embeddings
2. How models understand meaning – vector space
3. OpenAI embedding API
4. Measuring semantic similarity between texts
5. Practical applications of embeddings
Module IV: Practical Applications of LLMs
1. Automatic document summarization
2. Extracting key information from text
3. Machine translation using LLMs
4. Text classification – sentiment analysis and categorization
14 Hours
Testimonials (5)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
Course - Machine Learning with Python – 2 Days
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
Course - Machine Learning with Python – 4 Days
Trainer develops training based on participant's pace
