"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.
Introduction to LangChain:
Python Basics for LangChain:
Working with LangChain Libraries:
LangChain Data Cleaning Techniques:
Exploratory Data Analysis (EDA) in LangChain:
LangChain Data Transformation:
Handling Time Series Data in LangChain:
Data Wrangling with NumPy in LangChain:
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:
Real-world Case Studies in LangChain:
Integration with Other Tools in LangChain:
Version Control for LangChain Data Wrangling Scripts:
Automation and Scripting in LangChain:
Advanced Topics (Optional) in LangChain:
Hands-on Projects in LangChain:
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.
"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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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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