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 tools like ChatGPT and Google Gemini have captured the attention and imagination of many people, the real power of GenAI for many organizations lies in customizing large learning models with their proprietary data. This makes for more efficient and secure results but requires a much higher level of sophistication on the part of the team.

ExitCertified offers Generative AI training courses for every role, ranging from end-user ChatGPT and prompt engineering training to advanced courses on Generative AI Engineering for data science professionals.

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Download our GenAI learning paths on Azure and AWS below.

GenAI Engineering on Azure GenAI Engineering on AWS

AI for Data Scientists

Introduction to Generative AI Engineering for Data Scientists and ML Engineers (WA3515)

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Intermediate Generative AI Engineering for Data Scientists and ML Engineers (WA3516)

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Comprehensive Generative AI Engineering for Data Scientists and ML Engineers (WA3517)

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Designing and Implementing Enterprise-Grade ML Applications (WA3518)

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AI Computer Vision (WA3519)

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Fundamentals of Deep Learning and Generative AI (WA3462)

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61 results found for "Generative AI"

Introduction to Generative AI (WA3407)

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Fundamentals of Deep Learning and Generative AI (WA3462)

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Comprehensive Generative AI for Developers (WA3309)

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ChatGPT Basics (WA3403)

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Prompt Engineering: Techniques and Best Practices (WA3307)

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

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

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

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

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Microsoft - Introduction to GitHub Copilot (WA3336)

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Boosting Developer Productivity with AI (WA3417)

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

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

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AI-Powered Product Thinking (TP3435)

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

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CertNexus - GenAIBIZ™ (CNX0019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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Building Intelligent Virtual Agents with IBM watsonx Assistant (W7L167G)

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

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

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

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IBM watsonx.data on IBM Cloud Pak for Data 4.8: Modernize Your Data Warehouse and Streamline Data Analytics (6XL946G)

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Generative AI Foundations (WA3497)

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IBM - watsonx Code Assistant for Red Hat Ansible Lightspeed: Generative AI Training (W7S174G-SPVC)

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