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Langchain training course

Develop LLM powered applications with LangChain - a Python library that allows software developers to create applications that can use AI tools and models such as ChatGPT.

JBI training course London UK

"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

Public Courses

11/03/24 - 3 days
£2495 +VAT
22/04/24 - 3 days
£2495 +VAT
03/06/24 - 3 days
£2495 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

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. 

  • Master LangChain coding fundamentals.
  • Apply theory in hands-on projects.
  • Proficiency in LangChain libraries for coding.
  • Expertise in data cleaning techniques.
  • Use EDA for insights in LangChain datasets.
  • Learn advanced numerical operations with NumPy.
  • Utilize regular expressions for text data cleaning.
  • Develop modular, reusable code in LangChain.
  • Apply wrangling skills to real-world datasets.
  • Integrate wrangling into data science ecosystems.
  • Implement Git for version control in LangChain.
  • Explore advanced features and machine learning prep.
  • Showcase skills with a comprehensive capstone project.

Introduction to LangChain:

  • Understanding the foundational principles of the programming language.
  • Common challenges and issues encountered during coding tasks.
  • Overview of the language's significance in the development workflow.

Python Basics for LangChain:

  • Introduction to the Python programming language.
  • Exploration of data types, variables, and basic operations.
  • Building a solid foundation for effective programming in LangChain.

Working with LangChain Libraries:

  • Overview of libraries for data manipulation and analysis.
  • Reading and writing data in various formats (CSV, Excel, SQL).
  • Creating and manipulating DataFrames for efficient data handling.

LangChain Data Cleaning Techniques:

  • Identifying and handling missing data in LangChain.
  • Strategies for removing duplicates and normalizing data.
  • Techniques for data type conversion and normalization.

Exploratory Data Analysis (EDA) in LangChain:

  • Descriptive statistics for understanding dataset characteristics.
  • Visualizations using libraries like Matplotlib and Seaborn.
  • Leveraging EDA to gain insights from LangChain datasets.

LangChain Data Transformation:

  • Reshaping and pivoting data efficiently.
  • Merging and joining datasets using LangChain.
  • Advanced techniques for handling time-based data.

Handling Time Series Data in LangChain:

  • Working with time-based data using Pandas in LangChain.
  • Resampling and frequency conversion for effective time series analysis.

Data Wrangling with NumPy in LangChain:

  • Introduction to NumPy for numerical operations in LangChain.
  • Working with arrays and matrices to enhance computational capabilities.

LangChain Introduction to Regular Expressions:

Pattern matching for text data cleaning.

Utilizing regular expressions for efficient data extraction in LangChain.

Data Wrangling Best Practices in LangChain:

  • Writing modular and reusable code for efficiency.
  • Strategies for handling large datasets in LangChain.
  • Error handling and debugging techniques specific to LangChain.

Real-world Case Studies in LangChain:

  • Applying data wrangling skills to real-world datasets in LangChain.
  • Solving practical challenges across diverse domains using LangChain.

Integration with Other Tools in LangChain:

  • Integrating data wrangling into the broader data science ecosystem.
  • Collaborating with databases and big data frameworks in LangChain.

Version Control for LangChain Data Wrangling Scripts:

  • Introduction to version control systems (e.g., Git) in LangChain.
  • Best practices for collaborative data wrangling projects in LangChain.

Automation and Scripting in LangChain:

  • Writing scripts for automating repetitive data wrangling tasks in LangChain.
  • Building efficient data pipelines for streamlined workflows using LangChain.

Advanced Topics (Optional) in LangChain:

  • Exploring advanced features of LangChain libraries.
  • Developing custom functions and transformations in LangChain.
  • Introduction to machine learning data preparation in LangChain.

Hands-on Projects in LangChain:

  • Applying learned skills to real-world projects in LangChain.
  • Receiving feedback and engaging in code reviews for continuous improvement.
JBI training course London UK

Aspiring Programmers: Individuals beginning their programming journey and seeking a solid foundation in LangChain.

Experienced Developers: Developers aiming to deepen their expertise in the LangChain programming language.

Tech Enthusiasts: Individuals passionate about coding and eager to enhance their language-specific skills.

Professionals Transitioning to Programming Roles: Individuals transitioning from other fields to programming roles, wanting a comprehensive introduction to LangChain.

Business Owners and Managers: Entrepreneurs and managers looking to understand LangChain for making informed technology decisions.

This course is designed to accommodate a diverse audience, from beginners to those with some programming experience, providing a solid foundation in the LangChain programming language.


5 star

4.8 out of 5 average

"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: 

JBI training course London UK

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                                                                                                                          LangChain Training 

 

Embark on a transformative journey with our LangChain training course, designed to empower participants with essential skills for efficient data wrangling and programming mastery. The curriculum spans from foundational principles to advanced techniques, providing a holistic understanding of the LangChain programming language.

Participants will delve into practical applications, mastering the art of coding through hands-on projects and real-world scenarios. The course emphasizes the importance of data cleaning, exploratory data analysis, and proficient handling of time series data, ensuring participants are equipped with the skills necessary for effective data manipulation.

Additionally, participants will explore the integration of LangChain into broader data science ecosystems, collaborating with databases and big data frameworks.

The course covers version control using systems like Git, offering insights into collaborative data wrangling projects.

With a focus on real-world applications, participants will engage in hands-on projects, receive constructive feedback, and participate in code reviews to refine their skills. The LangChain course culminates in a capstone project, allowing participants to showcase their comprehensive data wrangling abilities, providing a practical demonstration of their acquired skills.

This course seamlessly integrates with Python, enabling participants to leverage the power of Python programming for enhanced data wrangling capabilities. Participants will explore the synergy between LangChain and Python, gaining proficiency in working with Pandas, NumPy, and other Python libraries for comprehensive data analysis.

Who is the target audience for this course?

This course is designed for individuals at various skill levels, from beginners to experienced developers. It caters to aspiring programmers, tech enthusiasts, students, and professionals looking to deepen their expertise in the LangChain programming language.

Are there prerequisites for enrollment?

No specific prerequisites are required. The course is tailored to accommodate participants with varying levels of programming knowledge, providing a comprehensive learning path.

How does this course integrate with Python?

The LangChain course seamlessly integrates with Python, allowing participants to harness the power of Python programming for enhanced data wrangling capabilities. Participants will explore the synergy between LangChain and Python, gaining proficiency in working with Pandas, NumPy, and other Python libraries for comprehensive data analysis.

What hands-on projects are included in the course?

The course includes a variety of hands-on projects, covering practical applications, data reshaping, exploratory data analysis, and collaborative coding. Participants will engage in real-world projects, receive constructive feedback, and participate in code reviews for continuous improvement.

How does the course ensure practical learning?

Practical learning is emphasized throughout the course, with a focus on hands-on projects, real-world scenarios, and collaborative coding exercises. Participants will apply theoretical knowledge to practical situations, ensuring a well-rounded and immersive learning experience.

Is technical support provided during the course?

Yes, participants will have access to technical support throughout the course. The support team will assist with any issues related to the course platform, materials, or exercises, ensuring a seamless learning experience.

What sets this LangChain course apart?

This course not only covers fundamental language principles but also integrates with Python, providing participants with broader programming skills. The emphasis on hands-on projects, real-world applications, and collaboration sets it apart, offering a dynamic and practical learning environment.

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