Essential Ai Skills Every Developer Needs By 2026
Published 9/2025
Created by Anel Formation
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 13 Lectures ( 3h 47m ) | Size: 3.3 GB
Future-Ready Developer: Skills You Can't Miss in 2026
What you'll learn
Learn how to integrate AI services into real-world applications using Semantic Kernel and OpenAI.
Apply best practices for orchestrating AI with existing business logic and data sources.
Develop the skills to build, test, and evolve a smart room booking assistant as a case study.
How Copilot becomes our partner
Requirements
Basic knowledge of programming concepts (variables, functions, classes).
Description
Transparency Note: Some elements of this course were created or enhanced using artificial intelligence (AI) tools, in accordance with Udemy's guidelines.This comprehensive training program takes you on a practical journey into the world of AI integration for real-world applications. You will learn how to move beyond simple chatbot demos and build production-ready systems that intelligently combine natural language understanding with your own business logic.Starting from the basics of environment setup, we'll guide you through creating your first AI-powered assistant, integrating live room data, and mastering orchestration using Semantic Kernel. The course emphasizes hands-on learning, giving you the tools to transform traditional applications into smart, AI-driven solutions.Participants will gain experience implementing AI assistants across multiple programming environments, including:JavaPythonNode.jsPHP.NET (C#)By the end of the course, you will not only understand how to connect AI models like OpenAI's GPT with your applications but also how to orchestrate them securely, manage real-time data, and deliver reliable, intelligent user experiences.Who is this course for?Developers who want to integrate AI into their existing projectsSoftware engineers aiming to master orchestration with Semantic KernelTech professionals looking to stay ahead in AI-driven developmentKey Outcomes:Learn to set up a development environment with .NET 9, VS Code, and API keysBuild AI assistants that can both "talk" and "act" by calling your servicesIntegrate live data into AI responses for realistic, production-ready use casesMaster cross-language implementations in Java, Python, Node.js, PHP, and .NET (C#)This course is your gateway to becoming not just an AI user, but an AI-powered developer capable of building the next generation of intelligent applications.
Who this course is for
Developpers and IT students
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