Become an AI Engineer in 2026
Discover the modern AI Engineering roadmap and explore three powerful career paths — Agentic AI Engineer and Machine Learning Engineer. Learn what skills you need, how the paths differ, and where each can take your career.
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The AI Engineering Specializations
Three modern AI Engineering paths. One workshop to help you understand where you fit.
Track 1 — AI Automation Engineer (Low-Code / Visual)
n8n • Make • Zapier • API Integration • Webhooks • Visual Workflows • Automation Architecture
Track 2 — Agentic AI Engineer
LLMs • Prompt Engineering • RAG • AI Agents • Multi-Agent Systems • AI Applications
Track 3 — Machine Learning Engineer
Data Preprocessing • Feature Engineering • Machine Learning • Deep Learning • Model Deployment • MLOps
What You’ll Learn
Get a clear picture of the modern AI Engineering landscape, explore the three major specialization paths, and understand the skills you need to build your career in AI.
AI Engineering in 2026
Understand what an AI Engineer actually does and how modern AI development goes beyond traditional software development.
The Agentic AI Path
Explore LLMs, Prompt Engineering, RAG, AI Agents, Multi-Agent Systems, and AI-powered applications.
The Machine Learning Path
Discover the journey from data preprocessing and feature engineering to Machine Learning, Deep Learning, deployment, and MLOps.
Choose Your AI Career Path
Compare both specializations, understand the skills required, and identify the right AI Engineering path for your career.
Who Is This Workshop For?
🎓 University Students
Understand the AI career paths available after graduation.
💻 Developers & IT Professionals
Discover how to transition into modern AI Engineering.
🚀 Fresh Graduates
Get a clear roadmap instead of randomly learning AI tools.
🔄 Career Switchers
Compare Agentic AI and Machine Learning before choosing your direction.
Meet your mentor
Rana M. Ajmal
CEO, NexusBerry Training & Solutions · CEO, BerryBuilds · CS Faculty, COMSATS University Lahore
AI Engineering • Full-Stack Development • Machine Learning • Software Architecture • Technology Leadership · 25+ years of experience
- CEO, NexusBerry Training & Solutions
- CEO, BerryBuilds
- Computer Science Faculty, COMSATS University Lahore
- 25+ years of industry & academia experience
- Full-Stack Developer & AI Educator
Rana M. Ajmal is a Full Stack Developer, AI Professional, Entrepreneur, and Educator with 25+ years of industry and academic experience. As CEO of NexusBerry and BerryBuilds Solutions and a Faculty Member at COMSATS University Lahore, he helps students, professionals, startups, and businesses build successful careers, innovative products, and AI-powered software solutions.
Reserve your free seat
Limited seats · Free registration · Live Q&A · Hands-on demo projects.