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Generative AI for Developers

Empowering Development with Generative AI: The Future is Now

  • 8 Weeks
  • Zero to Hero

Skills you'll gain

Course Outline

  • Machine Learning Basics

    • Machine Learning Overview
    • AI ML DL
    • Generative AI Fitment
    • Predictive vs Generative
    • Algorithms
    • Tools and Techniques
    • Exercise: House Price Prediction
  • Deep Learning Basics

    • Deep Learning Overview
    • Neural Networks
    • Detection, Segmentation, Classification
    • Image Processing
    • CNNs, YOLO, Alexnet
    • RNN LSTM GRU
    • Exercise: Detecting handwritten numbers with Neural Networks
  • Natural Language Processing

    • Stemming Lemmatization
    • Text Classification
    • Named Entity Recognition (NER)
    • Machine Translation
    • Text Generation
    • Sentiment Analysis
    • Seq2Seq, NLTK, Tokenization
    • Exercise: Abstraction of Document
  • Text Generation Models

    • Auto Encoders
    • Attention Based Architecture
    • Transformers, BERT, RoBERT
    • Large Language Models
    • Prompt Engineering
    • OpenAI: GPT, 3.5, 4, 4.5, 4o
    • Google: Palm2, Bard, Gemini, Vertex
    • Anthropic: Claude 3
    • Open Source: Llama, Mistral
    • Code Generation: Tabnine, CodeWhisperer, etc.
  • Image Generation Models

    • How does it work?
    • Variational Auto Encoders
    • Generative Adversarial Networks
    • Types of GAN
    • Dall E, Microsoft Designer
    • Stable Diffusion, Control Net
  • All About Langchain

    • What is Langchain?
    • Langserve, Langsmith
    • Huggingface
    • LCEL, Prompt Templates
    • Langchain and LLMs
    • Exercise: Prompt Engineering
  • Retrieval Augmented Generation

    • Knowledge Problem
    • Vector Embeddings
    • Vector Databases
    • Similarity Search
    • Langchain Retrievers
    • RAPTOR
    • Exercise: RAG using Langchain
  • LLM As Service

    • Local Text and Image Models
    • Ollama, Grok, OpenLLM, LM Studio
    • Deployment and Exposing APIs
    • Exercise: Running LLM locally and consuming the API
  • Let us build a Chat Application using Gen AI

    • Exposing and Consuming API
    • Streamlit
    • Uploading Documents
    • RAG
  • Conclusion

    • Importance of Prompt Engineering
    • Good, Bad, Wrong Prompts
    • Ethical Considerations
    • DeepFakes and Video Manipulation
    • Regulatory Measures
    • Application of Gen AI
    • Potential advancements and innovations

Multi instructor Course

  • Benjamin Schoreder - US

    Benjamin Schroeder - US

    Experienced in the IT industry for more than 20 years, worked with top-rated multinational corporations, navigated cross-cultural environments, contributed to cutting-edge projects, and passionately mentored countless students and engineers using an innovative teaching approach.

  • Praveen Kumar - India

    Praveen Kumar - India

    Experienced in the IT industry for more than 20 years, worked with top-rated multinational corporations, navigated cross-cultural environments, contributed to cutting-edge projects, and passionately mentored countless students and engineers using an innovative teaching approach.

  • Manoj Joshi - US

    Manoj Joshi - US

    Experienced in the IT industry for more than 20 years, worked with top-rated multinational corporations, navigated cross-cultural environments, contributed to cutting-edge projects, and passionately mentored countless students and engineers using an innovative teaching approach.

  • Santosh Pericharan - US

    Santosh Pericharan - US

    Experienced in the IT industry for more than 20 years, worked with top-rated multinational corporations, navigated cross-cultural environments, contributed to cutting-edge projects, and passionately mentored countless students and engineers using an innovative teaching approach.

  • Jonathan Enudeme - Nigeria

    Jonathan Enudeme - Nigeria

    Experienced in the IT industry for more than 20 years, worked with top-rated multinational corporations, navigated cross-cultural environments, contributed to cutting-edge projects, and passionately mentored countless students and engineers using an innovative teaching approach.

Course Description

Our comprehensive Generative AI course at Digital Nexus AI. Tailored for both beginners and experienced professionals, this course delves into the fascinating world of generative models, empowering you with the knowledge and skills to innovate and excel in AI-driven industries. By completing this course, you'll gain a deep understanding of Generative AI and the ability to develop advanced generative models. Whether you aim to advance your career, innovate in your current role, or explore new creative avenues, our Generative AI course equips you with the tools and insights to succeed.

What you'll learn

1. You will learn how to generate new content such as images, text, and even source code among others.
2. You will learn about LLMs, ChatGPT, Prompt Engineering, and Vector databases.
3. By learning Gen AI you are gaining an understanding of cutting-edge technology and a lot of new concepts.
4. You will learn how to write Gen AI programs to build a custom GPT like chatPDF and others.