How to Become an AI Engineer in 2026: Your Complete Roadmap

Demand for AI roles continues to rise, but hiring teams still struggle to find job-ready candidates. Employers no longer look only for professionals who can train models. They expect strong foundations in data and machine learning, practical experience with generative AI, and the ability to deploy systems that function effectively in real-world business environments. Many aspiring AI engineers feel uncertain about where to start, which skills to prioritize, and how to build experience that hiring teams trust.

This webinar provides a clear and practical roadmap to becoming an AI Engineer in 2026. It explains how the role has changed, what skills are now essential, and how learners can progress step by step. The webinar also introduces the Microsoft AI Engineer Program, demonstrating how its structured curriculum, hands-on projects, and industry alignment support learners in developing job-ready AI engineering capabilities with confidence.

Date: Feb 4, 2026 | Time: 9 PM IST, 10.30 AM ET

What You’ll Learn

• The AI engineer role in 2026: Understand what AI Engineers actually work on today and how this role differs from data scientists, ML engineers, and prompt-focused roles.
• A clear learning roadmap: See how skills build progressively from Python and data foundations to machine learning, deep learning, NLP, computer vision, generative AI, and deployment.
• Skills and tools that matter: Learn which frameworks, platforms, and systems employers expect AI engineers to work with in 2026.
• Building a strong project portfolio: Understand what recruiters look for in AI projects, common mistakes learners make, and how to demonstrate business impact.
• Hiring trends and expectations: Get clarity on demand, role requirements, and how companies evaluate AI engineering candidates.

Who Should Attend

• Early-career IT and software professionals planning to move into AI roles
• Data analysts and BI professionals transitioning into ML and AI
• Developers, cloud engineers, and DevOps professionals expanding into AI engineering
• Non-technical professionals seeking a structured and guided entry into AI
• Product and business teams working closely with AI systems
• Students and recent graduates aiming to specialize in GenAI and ML

About the Speaker

Timothy Henize - AI Engineer & Founder

Timothy Henize brings 18 years of experience in hospital administration, including his role as Director of Operations for the Emergency Department at Cincinnati Children’s Hospital, where he led multidisciplinary clinical and operational teams in a leading pediatric healthcare system.

He is now the Founder & CEO of The AI Handyman LLC, where he builds human-centered AI tools, intelligent workflows, and adaptive systems for individuals, creators, and small businesses. His work integrates applied AI and automation, ethical systems design, and modern full-stack development (Next.js, Tailwind, Supabase, Vercel) to translate complex ideas into functional products and practical AI solutions.

If you want a clear, step-by-step roadmap to becoming an AI Engineer in 2026, along with practical guidance on skills, projects, and career decisions, this webinar gives you the clarity you need before committing to a professional certificate program.

Register Now for Free!