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Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

A Hands-On Introduction to Embeddings and Transformer Architecture

Struggling to understand the complexities of embeddings and transformer architecture?

Dive into our comprehensive course and unlock the secrets to mastering these fundamental concepts. Gain practical experience and enhance your understanding to leverage embeddings and transformer architecture effectively in your projects.

Intermediate

 | 1 Course | 

6 Hours

Earn a verified certificate from University of New Mexico Continuing Education.
University of New Mexico | LLM Bootcamp | Data Science Dojo

Why Embeddings

Master the foundations of NLP:
  • Understand and explore common vectorization techniques.
  • Dive into Word2Vec and semantic encoding for word and sentence representations.
  • Uncover the key concepts behind Transformer models and attention mechanisms.
Practical Skills in Text Embedding and Similarity Measures:
  • Create TF-IDF embeddings and calculate sentence similarity metrics.
  • Analyze text through self-attention for contextual understanding.
  • Implement semantic search methods beyond simple keyword matching.
Expand your skillset and open new opportunities:
  • Gain valuable skills for text analysis, machine translation, and more.
  • Enhance your understanding of large language models (LLMs).
  • Stand out in the job market with in-demand NLP expertise.
Foundational and Advanced Vectorization Knowledge::
  • Explore advanced concepts like multilingual search and embedding limitations.
  • Learn strategies to overcome challenges and enhance semantic search accuracy.
  • Stay ahead of the curve in the rapidly evolving field of NLP.
Join a community of learners:
  • Access to expert instructors and supportive peers.
  • Engage in interactive exercises and real-world applications.
  • Receive personalized feedback and guidance.
Exploration of Transformer Models and Semantic Search:
  • Master Transformers, empower search, unlock NLP expertise
  • Decode text data, build smarter search, shape NLP future.
  • Dive into Transformers, revolutionize search, conquer NLP challenges

Curriculum

Introduction to Embeddings and Vectorization Techniques

  • Review of Classical Techniques
  • Vectorization Techniques:
    • Binary/One-Hot Encoding
    • Count-Based Methods
    • Term Frequency-Inverse Document Frequency (TF-IDF)

Advanced Vectorization and Local Context Capture

  • N-grams: Concept and Applications
  • Challenges with Capturing Local Context

Semantic Encoding Techniques

  • Overview of Word2Vec:
    • Concept and Development
    • Dense Word Embeddings
  • Applications of Word2Vec in Text Analytics and NLP Tasks

Diving Deep into Text Embeddings

  • Understanding Word and Sentence Embeddings
  • Text Similarity Measures:
    • Dot Product
    • Cosine Similarity
    • Inner Product

Hands-On Exercise: Working with Embeddings

  • Creating TF-IDF Embeddings on a Document Corpus
  • Calculating Similarity Between Sentences Using Cosine Similarity and Dot Product

Exploring Large Language Models and Transformer Architecture

  • Introduction to Transformer Models and Attention Mechanisms:
    • Encoder-Decoder Structure
    • Transformer Networks: Tokenization, Embedding, Positional Encoding, and Transformer Blocks
    • Attention Mechanisms:
      • Self-Attention
      • Multi-Head Attention
  • Hands-On Exercise: Understanding Attention Mechanisms
    • Self-Attention for Contextual Word Analysis

Semantic Search: Beyond Lexical Limitations

  • Understanding and Implementing Semantic Search:
    • Introduction and Importance
    • Differentiating Semantic from Lexical Search
    • Using Text Embeddings for Semantic Search
  • Exploring Advanced Concepts in Semantic Search:
    • Multilingual Search
    • Limitations and Challenges of Embeddings and Similarity
    • Enhancing Semantic Search Beyond Embeddings and Similarity

Testimonials

Our customers love us!

Alessya Visnjic | WhyLabs | Data Science Dojo
Partnering with Data Science Dojo aligns with our mission to make data science accessible. Their bootcamps contribute to safe AI deployment education.
Alessya Visnjic
CEO & Co-founder
Jeff Fong | Hover | Data Science Dojo
LLM bootcamp provides exceptional, hands-on initiation into LLMs and practical applications. A deep dive into the subject with theoretical knowledge.
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Abrar | IFC | LLM Bootcamp | Data Science Dojo
Six months of course material access post-training is valuable. Instructors ensure success, making it a top-notch learning experience in AI.
Abrar Bhuiyan
Supervisor, Software Application Engineer
Fatemeh Shah Mohammadi | Health University of Utah | Data Science Dojo
Instructors simplified complex topics effectively. Hands-on learning enhanced my LLM understanding in 5 days. Intensive but immeasurable rewards.
Fatemeh Shah-Muhammadi
Research Assistant Professor
Sage Elliott | WhyLabs | Data Science Dojo
A rewarding opportunity to help students of all backgrounds learn new techniques. Being part of a passionate data science community was a real privilege.
Sage Elliot
AI Engineer | MLOps & Robotics
Bernard Tumanjong | United States Space Force | Data Science Dojo
LLM Bootcamp provides hands-on experience with expert instructors, a comprehensive framework, and extensive resources for substantial upskilling.
Bernard Tumanjong
Chief, Operations Analysis
Fahad Alswaina | KAPSARC | Data Science Dojo
The effort in providing resources was commendable. Teachers and assistants were helpful, making it one of the best courses. I learned a lot for future use.
Fahad Alswaina
Sr. Data and Model Solutions Associate
Kevin Song | ICF | Data Science Dojo
Top-notch speakers, hands-on workshops, and networking make it a wonderful tech experience. Raja's in-depth teaching focuses on learning concepts.
Kevin Song
Software Engineer
Taimur Rashid | Redis | Data Science Dojo
Comprehensive curriculum in generative AI, prompt engineering, and data retrieval. Excited about practical training opportunities.
Taimur Rashid
Advisor
Instructor Harrison Chase from LangChain, guiding participants through the LLM Bootcamp.
Collaborating with Data Science Dojo nurtures the next generation of LLM developers, commendable for fostering a dedicated creator community.
Harrison Chase
Co-Founder and CEO
Luis Armando M | Raisa | Data Science Dojo
This boot camp provided great content, equipping me with skills and confidence for efficient job execution. Enjoyable class and projects, a rewarding decision.
Luis Armando M
Sales and Services Manager
Amity Fox | Strategic Insights L.L.C | Data Science Dojo
The LLM Bootcamp offered an enlightening, well-structured learning experience, invaluable networking, and insights into real-world AI challenges.
Amity Fox
Data Scientist

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Upcoming Online Start Dates

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Date Timing Price
May 02, 2024 9AM – 4PM PDT $999 $749 25% OFF Apply Now

INSTRUCTORS AND GUEST SPEAKERS

Learn From Industry Leaders

Raja Iqbal-Data Science Dojo

Raja Iqbal

CEO, Data Science Dojo

Instructor Sanjay Pant from Data Science Dojo, guiding participants through the LLM Bootcamp.

Sanjay Pant

Data Scientist, Data Science Dojo

zaid Ahmed

Zaid Ahmed

Data Scientist, Data Science Dojo

haider ali

Haider Ali

Data Scientist, Data Science Dojo

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Frequently Asked Questions

Will I get a certificate upon completion?

Yes, you will get a certified upon completion.

How many Continuing Education Credits (CEUs) will I receive?

Yes, you will receive 0.6 CEU’s after completing the course. You will be able to request a transcript from the University of New Mexico by paying a fee of ten US Dollars.

How long does the course take to complete?

Our quickest learners have completed the course as quickly as in 6 hours.

What software and subscriptions are included in the registration fee?

An assortment of software subscriptions worth $500, enhancing the value of the program.

A repository of practice materials.

A 12-month unlimited access to all learning resources, allowing for continuous learning and review.

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.

Can I get support and guidance after the course?

Yes, Data Science Dojo provides ongoing support and guidance to the course participants even after the program ends. This includes access to a community of fellow participants and instructors who can help answer questions and provide further assistance.

If I have questions during the live instructor-led sessions or while working on homework?

Yes, our live instructor-led sessions are interactive. During these sessions, students are encouraged to ask questions, and our instructors respond without rushing. Additionally, discussions within the scope of the topic being taught are actively encouraged. We understand that questions may arise during homework, and to assist with that, we have a discord channel to help unblock students between sessions. Rest assured, you won't have to figure everything out by yourself – we are committed to providing the support you need for a successful learning experience.

Are the live sessions recorded for viewing later?

Yes, each live session is recorded and made available to students for review a few days after it has taken place.

How do I access the learning portal?

Once you are registered for the program, you will receive a few emails from us. One of those emails will contain steps to create your learning portal account and access the program content.

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