Generative AI Training Courses

Generative artificial intelligence (GenAI) describes algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos. While free end user chatbot tools like ChatGPT (the GPT stands for generative pre-trained transformer) and Bard have captured a lot of people's attention and imagination, the real power of GenAI for many organizations will lie in customizing large learning models with their own proprietary data. This makes for more efficient and secure results, but requires a much higher level of sophistication on the part of the team. Prompt engineering is the practice of designing inputs for GenAI tools that will produce optimal results.

ExitCertified has a variety of training on GenAI tools from different vendors that range from end user ChatGPT and prompt engineering training to advanced courses on Generative AI Engineering for machine learning professionals.

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Generative AI
Generative AI

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36 results found for "Generative AI"

Click on the diagrams below to download our learning paths.

Introduction to Generative AI (WA3407)

Fundamentals of Deep Learning and Generative AI (WA3462)

Generative AI Engineering (WA3309)

ChatGPT Basics (WA3403)

Prompt Engineering: Techniques and Best Practices (WA3307)

Applied Linear Algebra, Calculus, and Statistics for AI, ML, and Data Science (WA3418)

Microsoft - Develop Generative AI Solutions with Azure OpenAI Service (AI-050T00)

Developing Generative AI Applications on AWS (AWS-GENAI-APP)

Nvidia - Generative AI with Diffusion Models (NV-GEN-AI-DM)

Nvidia - Model Parallelism: Building and Deploying Large Neural Networks (NV-MP-DEPLOY-NETW)

Introduction to GitHub Copilot (WA3336)

Boosting Developer Productivity with AI (WA3417)

Nvidia - Efficient Large Language Model (LLM) Customization (NV-ELLM)

Google Cloud - Vertex AI Model Garden (GCP-AIMG)

AI-Powered Product Thinking (TP3435)

Google Cloud - Introduction to Responsible AI in Practice (GCP-IRAIP)

CertNexus - GenAIBIZ™ (CNX0019)

Building Advanced Intelligent Virtual Agents in IBM watsonx Assistant (W7L165G)

Leading AI ML Integration and Deployment of Projects (WA3384)

Nvidia - Fundamentals of Deep Learning (NV-FUND-DL)

Nvidia - Rapid Application Development Using Large Language Models (NV-RAD-LLM)

Google Cloud - Text Generation for Applications using Gen AI Studio (GCP-TGA-GAIS)

Google Cloud - Interactive Chat for Applications using Gen AI Studio (GCP-ICA-GAIS)

Smart Analytics, Machine Learning, and AI on Google Cloud (GCP-SAML-AI)

Nvidia - Building Transformer-Based Natural Language Processing Applications (NV-BTBN-LPA)

Nvidia - Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (NV-DP-GPU)

Nvidia - Building RAG Agents with LLMs (NV-RAG-A-LLM)

Building Applications with Large Language Models (B-APPS-LLM)

Fine-Tuning Large Language Models: Maximizing Value and Performance for Custom AI Solutions (FTLLM-MVPCAI)

Prompt Engineering for Business Professionals: Leveraging Conversational AI for Enhanced Customer Experiences (EBP-LCAIECE)

Prompt Engineering for Text-to-Image Generators: Mastering Visual AI Solutions with Models like Midjourney and DALL-E (PETIG-MVAIS-MMD)

Prompt Engineering for Developers: Mastering the Art of Conversational AI (PED-MACAI)

Building Intelligent Virtual Agents with IBM watsonx Assistant (W7L167G)

Building Intelligent Virtual Agents with IBM watsonx Assistant (W7S167G-SPVC)

Building Advanced Intelligent Virtual Agents in IBM watsonx Assistant (W7S165G-SPVC)

Developing Generative AI Applications on AWS with Hands-On Labs (AWS-GENAI-LABS)

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