AI for Developers Training

Web Age's Generative AI training teaches developers of all experience levels how to leverage the power of AI for coding. From seasoned programmers to those just starting out, attendees learn how to automate code generation, craft innovative applications, and streamline their workflow to accelerate development projects.

Introduction to Generative AI for Developers
Course ID: WA3508
Delivery: On-Site or Instructor-led Virtual

This Introduction Generative AI (GenAI) training teaches developers how to build intelligent, scalable applications using GenAI and large language models (LLMs).

Intermediate Generative AI for Developers
Course ID: WA3509
Delivery: On-Site or Instructor-led Virtual

Our Intermediate Generative AI (Gen AI) training teaches developers advanced techniques like fine-tuning LLMs, Retrieval Augmented Generation (RAG), and Vector Embeddings. Attendees also learn how to integrate LLMs into development pipelines.

Building Intelligent Chatbots with ChatGPT
Course ID: BUILD-CHATBOT
Delivery: On-Site or Instructor-led Virtual

Leverage the power of ChatGPT to create innovative conversational AI applications for businesses or personal projects. This ChatGPT course gives attendees a solid understanding of essential concepts, techniques, and practical skills for creating, fine-tuning, and deploying chatbots powered by ChatGPT.

Comprehensive Generative AI for Developers
Course ID: WA3309
Delivery: On-Site or Instructor-led Virtual

This comprehensive five-day Generative AI (Gen AI) training BootCamp is tailored for developers who want to use Gen AI and large language models (LLMs) to build intelligent, scalable applications.

Boosting Developer Productivity with AI
Course ID: WA3417
Delivery: On-Site or Instructor-led Virtual

This Artificial Intelligence (AI) training gives developers a technical introduction to large language models (LLMs) and teaches them how to increase their coding productivity with various AI tools, including ChatGPT and GitHub Copilot.

Introduction to GitHub Copilot
Course ID: WA3336
Delivery: On-Site or Instructor-led Virtual

This GitHub Copilot course teaches programmers how to use GitHub Copilot’s Generative AI capabilities to produce code they would have to write themselves. After taking this class, participants supercharge their coding workflow and write more confidently, using Copilot as a programming partner.

Amazon SageMaker Studio for Data Scientists
Course ID: AWS-SMS-DS
Delivery: On-Site or Instructor-led Virtual

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle.
Microsoft Azure AI Fundamentals
Course ID: AI-900T00
Delivery: On-Site or Instructor-led Virtual

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Develop Generative AI Solutions with Azure OpenAI Service
Course ID: AI-050T00
Delivery: On-Site or Instructor-led Virtual

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

Designing and Implementing a Microsoft Azure AI Solution
Course ID: AI-102T00
Delivery: On-Site or Instructor-led Virtual

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

Create Document Intelligence Solutions with Azure AI Document Intelligence
Course ID: AI-3002
Delivery: On-Site or Instructor-led Virtual

In this class, you'll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. You'll also learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline.
Develop Natural Language Processing Solutions with Azure AI Services
Course ID: AI-3003
Delivery: On-Site or Instructor-led Virtual

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
Build an Azure AI Vision Solution with Azure AI Services
Course ID: AI-3004
Delivery: On-Site or Instructor-led Virtual

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.