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Python for LLM Fundamentals

Dive into the fundamentals of Python and Large Language Models to anchor your understanding of Generative AI for business.

Course details

Delve into the realm of Large Language Models with ‘Python for LLM Fundamentals.’ This course offers a deep dive into Generative AI’s role in modern businesses, essential Python programming basics, and the intricacies of Natural Language Processing. Over a span of 12 hours, empower yourself with the skills to harness cutting-edge AI tools and techniques.

Please bring along:

  • 1x Laptop
  • Purchased ticket

Schedule

  • Introduction to Generative AI

    Day 1

  • Python Basics for Beginners

    Day 2

  • Foundations of Language Processing

    Day 3

Course Producer

Samuel Chan

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

3-Day Workshop Modules

Syllabus: Python for LLM Fundamentals

Module 1: Introduction to Generative AI

  • Overview of Generative AI and its applications in the real world.
  • Introduction to the concept of Large Language Models (LLM).
  • Demonstrations of LLM in different business settings.
  • Guide to setting up the development environment.
  • Introduction to Python as the primary programming language in this training.
  • Introduction to using Python for language preprocessing.

Module 2: Python Basics for Beginners

  • Introduction to variables, data types, basic operations, and functions in Python.
  • Understanding control structures: conditional statements and loops.

Module 3: Foundations of Language Processing

  • Dive into Natural Language Processing (NLP).
  • Exploration of word embeddings and their significance in language models.
  • Introduction to prominent text libraries in Python, such as NLTK and spaCy.
  • Basics of text preprocessing and tokenization.
  • Demonstrations on using these libraries for common text tasks.

Program Receivables:

  • Cutting Edge Curriculum

    A hands-on coding bootcamp with the opportunity to work on real datasets donated by businesses and the public sector. Coursebooks (PDF/HTML files), data set for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project-Oriented Learning

    Work with real-life cases and learn under the assistance of our qualified instructors throughout the 1-month course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A STRUCTURED APPROACH TO LEARNING DATA SCIENCE

The Large Language Model Specialization is a 4-week intensive program meticulously crafted to fast-track students’ expertise in harnessing large-scale linguistic models and their real-world applications.

No prior knowledge of Python, NLP, or deep learning principles is required. The course follows a well-structured learning trajectory, emphasizing hands-on exercises. Group mentoring sessions, led by our seasoned instructors and teaching assistants, provide insights and clarification throughout the learning process. For those keen on delving deeper into AI or understanding foundational theories, our Advanced Neural Network and Generative AI Specialization offers a comprehensive next step.

Throughout this specialization, participants will undertake a series of projects, each exploring the vast capabilities of Large Language Models in different scenarios. On completion, our dedicated career support team and industry mentors will assist graduates in navigating their path towards influential roles in AI and language model-centric sectors in leading organizations.

Learn LLM by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of Large Language Models Specialization

This course is part of the Algoritma Large Language Models Specialization. Participants are rewarded with a certificate of completion upon passing criteria.