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Cutting-Edge AI with Transformers: Essential Guide

Master NLP concepts and Artificial General Intelligence (AGI) and build the knowledge and skills to become an AI expert.

Top-Rated 965+ Learners

Created By Denis Rothman

  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Cloud Labs

  • Recall Quizzes

  • Real-Time Insights

    What You Will Learn

    • Understand important elements and aspects of Transformers.
    • Learn to encoding sequences using Multimodal Neurons and understand image recognition.
    • Learn to using OpenAI Codex to transform language into code.
    • Gain an overview Generating Foundation Model-Level Embeddings.
    • Learn to improve AI logic by Fine–Tuning GPT-3 for optimal results.
    • Understand Economic AGI and the need for Artificial General Intelligence.

    The KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, assignments, and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Hands-On with Cloud Labs

    A fully-provisioned developer environment where you can practice your code right in your browser.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum

    Learning Objective:

    Understand what makes Transformers unique, their architecture, and the various sub-layers.

    • Why Are Transformers Unique?
    • A Developer’s View of Transformers
    • The Transformer’s Architecture
    • The Input Sub Layer
    • Input Embedding Sub-Layer
    • Positional Encoding Function
    • Multi-Head Attention Sub-Layer
    • Add and Norm and Feed Forward Network
    • Encoding and Decoding Stacks
    • Summing It Up: Training BERT

    Learning Objectives:

    Understand why we need millions of parameters and how OpenAI Codex is used to transform language into code. 

    • Experiencing Billion-Parameter Transformers for NLP
    • Why Do We Need Billions of Parameters?
    • The Flexibility of Transformer Architectures
    • Language To Code Generation With OpenAI Codex
    • OpenAI Codex to HTML
    • Instruct Series
    • Content Filters To Build an Unbiased Ethical AI
    • Basic NLP Tasks
    • Semantic Role Labeling (SRL)
    • Optimizing Google Search

    Learning Objective:

    Learn how to perform image recognition using vision transformers, and the three steps involved. Get introduced to multimodal neurons. 

    • Introduction to Multimodal Neurons
    • Encoding Sequences Using Multimodal Neurons
    • Vision Transformers: First Step of Image Recognition
    • Vision Transformers: Second and Third Step of Image Recognition
    • Code of Vision Transformers
    • CLIP Architecture
    • Code for CLIP
    • Introduction to DALL-E
    • Code of DALL-E
    • DALL-E From Text to Image

    Learning Objective:

    Learn all about Economic AGI, including its various domains and the need for artificial general intelligence. 

    • What Is Economic AGI?
    • Domains of Economic AGI
    • Need for Economic AGI
    • Introduction to Evaluating Zero-Shot Recommender Tasks
    • Using GPT-3 Foundation Model as a Recommender
    • GPT-3 Zero-Shot Recommender Tasks
    • Introduction of OpenAI Embeddings
    • Embeddings: Dimensions and Usage
    • Steps for Generating Foundation Model-Level Embeddings
    • Code for Generating Foundation Model-Level Embeddings
    • Improving AI Logic by Fine-Tuning GPT-3
    • SCM Micro-Decisions

    Prerequisites

    This course does not have any prerequisites.

    What Learners Are Saying

    I started from basics and then mastered advanced concepts like Improve AI logic by Fine –Tuning GPT-3. 

    J
    Jake Draft

    NLP Engineer

    This course was perfect for an AI enthusiast like me. I learnt at my own pace. This certificate helped me with my job.

    E
    El Naubrey

    Machine Learning Engineer

    Felt like 1:1 coaching. Aced Fundamentals of Economic Artificial General Intelligence in just a few weeks. Great job team!

    S
    Steve Handscomb

    Deep Learning Specialist

    Gained comprehensive insights into Transformers with the help of expert-led video classes and practice exercises. Immersive learning experience ever!

    H
    Harish Singh

    AI Research Assistant

    The AI course from KH helped me to progress a lot in my career. I strongly recommend this course.

    J
    Jeremy Saunders

    AI Expert

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Hands-On with Cloud Labs

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Course Advisor

    Denis Rothman
    Denis Rothman

    AI Thought Leader

    Denis is an AI expert, inventor, designer and full-stack developer of three cutting-edge AI solutions and brings on board insights from over 45+ years in technology. His AI programs have been reducing carbon emissions over decades.

    Course Advisor

    Denis is an AI expert, inventor, designer and full-stack developer of three cutting-edge AI solutions and brings on board insights from over 45+ years in technology. His AI programs have been reducing carbon emissions over decades.

    Denis Rothman
    Denis Rothman

    AI Thought Leader

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.


    You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy

    Please make sure that your computer meets the following software and system requirements: 

    • Software Requirements: Internet browser
    • System Requirements: Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

    Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.