"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Science, March 2021
In this course, students will learn the basics of Prompt Engineering, Chain of Thought, Tree of Thought, ReACT and other theoretical concepts. Students will also learn core concepts of Langchain, including, how to use LLM’s, how to create chains of requests, and how to create AI agents to perform tasks.
Prompt Engineering Fundamentals
Using large language models.
Creating chains of actions..
Introduction to embedding and vector databases.
Understanding core components of Langchain, including
A. LLMs
B. Prompts and Prompt Templating
C. Document Loaders
D. Text Splitting
E. Chain Memory
F. Parsing output
G. Agents and Tools
H. Indexes
Langchain is a Python library that allows software developers to create applications that can use AI tools and models such as ChatGPT. Experience of Python is required
"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Science, March 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
Watch client feedback from Python training course:
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This training course provides an introduction to the core concepts of the Python language, ultimately focusing on Big Data Analytics and Machine Learning applications.
The first three days of the course introduce you to Python tools for data science, including how best to manipulate and visualise your data with Python's excellent library support.
The last two days move one step forward, providing an overview of Artificial Intelligence and Machine Learning with the purpose of implementing predictive analytics applications.
Practical exercises and interactive walk-throughs are used throughout, so attendees have the opportunity to apply the proposed concepts on real data science applications, from exploratory data analysis to predictive analytics.
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