CAME – Certified AI & ML Engineer

Institute of Java and Software Engineering (IJSE) | Online & Panadura | Sri Lanka

🏛️ Institute: Institute of Java and Software Engineering (IJSE)

🎓 Qualification: Certified AI & ML Engineer (CAME)

📅 Duration: 6 Months (Intensive)

📍 Location: #50B, Grace Peiris Road, Panadura | Online Available

🎯 Focus: End-to-end AI engineering — from Python to production systems

🛠️ Tech Stack: Python, TensorFlow, PyTorch, LangChain, Docker, MLflow

📅 Next Intake: May 2026 — limited seats

🌐 Website: came.ijse.lk

The CAME (Certified AI & ML Engineer) programme from IJSE is Sri Lanka’s most comprehensive, hands-on AI and Machine Learning engineering course for 2026. Unlike theory-heavy university programmes, CAME focuses on building, training, deploying, and managing real-world AI systems — from foundational Python programming through advanced Generative AI, Large Language Models (LLMs), and MLOps in production. In just 6 months, CAME equips graduates with the exact skills demanded by Sri Lanka’s leading tech companies and global AI employers.

What Makes CAME Different

  • 🏭 Production-first approach — learn to deploy AI, not just build notebooks
  • 🤖 Covers Generative AI and LLMs — ChatGPT, Claude, and autonomous agent frameworks (LangChain)
  • ☁️ MLOps and cloud-style workflows — Docker, MLflow, model monitoring and scaling
  • 🌍 Skills aligned with roles at the world’s leading AI companies
  • 💻 Online and in-person options available from Panadura

Full Curriculum Path

  • 🐍 Foundations: Python programming, mathematics for AI, data structures
  • 📊 Machine Learning: Supervised and unsupervised learning, model evaluation
  • 🧠 Deep Learning: Neural networks, CNNs, RNNs — using TensorFlow and PyTorch
  • 👁️ Computer Vision: Image classification, object detection, real-world CV projects
  • 💬 Natural Language Processing (NLP): Text analysis, transformers, BERT
  • 🤖 Generative AI & LLMs: Prompt engineering, fine-tuning, building AI agents with LangChain
  • 🚀 MLOps & Deployment: Docker, MLflow, API deployment, monitoring in production

Entry Requirements

  • Basic programming knowledge is an advantage but not mandatory
  • Passion for AI and technology
  • Laptop required for practical sessions

Career Opportunities

  • AI / ML Engineer
  • Machine Learning Operations (MLOps) Engineer
  • Data Scientist
  • Generative AI Developer
  • AI Solutions Architect
  • NLP / Computer Vision Engineer

🤖 came.ijse.lk | May 2026 Intake — Limited Seats | #50B Grace Peiris Road, Panadura | Online & In-Person