LLM Data Science Bootcamp - Magnimind Academy

LLM Data Science Bootcamp

Live/Online/8Weeks/BestPrice

Unlock the Full Potential of LLM Data Science Bootcamp

Explore the Future of LLM Data Science

 

  • Join our 8-session bootcamp to dive into the fascinating world of Large Language Models (LLMs).
  • Whether you’re a seasoned data scientist or just starting out, this program will equip you with the skills needed to harness the potential of LLMs in various applications.

 

 

 

Semi Hasaj

I’m currently a Data Scientist at C3 AI where I develop and deploy ML within our CRM application. I studied Data Science while obtaining my Master’s of Business Analytics at MIT, and prior to that, I studied Space Engineering in Toronto, Canada.

What to Expect

Foundations of LLMs and Python Basics

 

  • Overview of large language models
  • Real-world applications of LLMs
  • Python essentials for LLMs
  • Common data structures and algorithms
  • Core python libraries for LLM development

Understanding Natural Language Processing

 

  • Overview of foundational NLP techniques
  • Hands-on development of bigram models
  • Deriving embeddings from natural language
  • Common language processing techniques such as tokenization

Transformers and Attention

 

  • Introduction to LLM’s core technology; Transformers
  • Dive into transformer architecture
  • Overview of attention mechanism
  • Next token predictions via autoregressive model
  • Hands-on with Hugging Face Transformers library

LLM Development: Fine-tuning and Prompt Engineering

 

  • Overview of LLM fine-tuning techniques
  • Hands-on fine-tuning of pre-trained models
  • Prompt engineering walkthroughs and best practices
  • Introduction to Few-shot prompting
  • Exploring LLM-provider cookbooks for optimal LLM results
  • Pre-training vs. Supervised Fine-tuning (SFT) vs. Prompt Engineering
  • Reinforcement Learning for tuning LLMs

Retrieval-Augmented Generation (RAG)

 

  • Explore RAG and why it is the most popular LLM use-case
  • Exploring document chunking, embedding, and retrieval
  • Vector RAG vs. Graph RAG
  • RAG for reducing LLM hallucination
  • Create your own RAG application

Introduction to LLM Agents

  • Overview of Agent frameworks and motivation
  • LLMs improving from feedback
  • Using tools with LLMs to perform complex tasks
  • Create your own Agents
  • Planning and Execution
  • Reflection, Chain-of-Thought (CoT), and multi-hop

Advanced Topics for Production LLM Application

  • Releasing and monitoring LLMs in production
  • LLM evaluations and learning from feedback
  • Pre-processing techniques (intent detection, routing, safety, retrieval)
  • Post-processing techniques (attribution, hallucination)
  • Practical exercises with advanced LLM techniques
  • Kickstart your own LLM project

How You’ll Learn

  • Interactive Sessions: Engage in live discussions with experts.
  • Video Lessons: Access curated video content.
  • Hands-on Workshops: Apply concepts to real-world scenarios.
  • Custom Projects: Build a portfolio of LLM applications.

What You’ll Gain

  • Proficiency in LLMs and Python
  • Practical experience with LLM libraries
  • A capstone project to showcase your skills

Who Is This Course For

01

Data scientists and analysts

 

 

02

NLP enthusiasts

 

 

 

03

Anyone curious about the power of language models

 

Duration

8 weeks

Skill Level

Intermediate/Advanced

Price / Early Bird

$900 / $500

Hands-on

8 weeks

Location

Remote

Earlybird Deadline

Oct 15, 2024

The Next Batch

Nov 9, 2024

10 AM – 12 PM

What You’ll Get Out of This Course

  • Proficiency in LLMs and Python
  • Practical experience with LLM libraries
  • A capstone project to showcase your skills

Learn from Industry Experts and Seasoned Educators

Why Choose Us?

We embrace a hands-on learning philosophy, emphasizing practical experiences for an authentic grasp of data science concepts. Committed to cultivating the growth of emerging professionals in the data science realm, our program provides a distinctive opportunity to collaborate with seasoned experts. Join our dynamic team and immerse yourself in gaining practical expertise in areas such as data analysis, machine learning, and statistical modeling.

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