Certified AI & ML Engineer

Master the Engineering of Intelligence in 6 Months

Artificial Intelligence has become the driving force of the modern world. From personalized recommendations and medical diagnostics to self-driving vehicles and generative models like ChatGPT, AI is transforming how we live, work, and innovate. Behind these breakthroughs are not data analysts who merely interpret numbers, but AI Engineers who understand how to make machines learn, reason, and evolve.

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The Certified AI & ML Engineer (CAME) program by the Institute of Software Engineering is built for this new generation of creators. It's a six-month, immersive journey designed to turn your curiosity into mastery, to help you not just understand AI, but engineer it.

What You'll Master

CAME is not just about "learning tools." It's about understanding the science and engineering of intelligence.
You'll begin by mastering Python for Data Science, then build up from mathematical foundations, Linear Algebra, Probability, and Calculus, that fuel every machine learning model. From there, you'll dive deep into the algorithms that drive intelligent systems.

Python & Mathematical Foundations

Master Python for Data Science alongside essential mathematical concepts, Linear Algebra, Probability, and Calculus, that power every machine learning model. Build the fundamental knowledge required to understand and implement AI algorithms from scratch.

Supervised & Unsupervised Learning

Learn how models like Linear Regression, Logistic Regression, and Decision Trees predict outcomes and classify data. Discover algorithms like K-Means Clustering and PCA that find hidden patterns in unlabelled data, powering customer segmentation and anomaly detection.

Advanced Ensemble Models

Explore powerful algorithms like XGBoost, LightGBM, and CatBoost, the same techniques behind many Kaggle competition winners. Master the advanced methods used by top data scientists to achieve state-of-the-art performance in competitive machine learning.

Deep Learning & Neural Networks

Master Neural Networks, CNNs, and RNNs, understanding how they enable machines to see, hear, and understand. Build and train deep learning models that power computer vision, speech recognition, and complex pattern recognition tasks.

Natural Language Processing

Build models that understand human language using Transformers, BERT, and GPT. Learn to fine-tune these powerful models for real-world applications, from sentiment analysis to question answering and text generation.

Generative AI & AI Agents

Learn to build systems that not only predict but create, from generating images with diffusion models to designing autonomous agents powered by LLMs and LangChain. Master the cutting-edge technologies shaping the future of AI.

This progression ensures you evolve from understanding what AI does to mastering how it does it, and ultimately, how to make it work for you.

From Models to Mastery

Most courses stop at "training models." CAME goes beyond that, to the engineering level. You'll learn how to containerize and deploy models using Docker, how to track experiments with MLflow, and how to automate entire ML pipelines using CI/CD principles. You'll also explore the emerging frontier of Retrieval-Augmented Generation (RAG), systems that allow LLMs to use private data, and Multimodal AI, where text, images, and audio converge. By the end of the program, you won't just be able to train models, you'll know how to design, optimize, deploy, and manage them at scale.

Key Benefits & Outcomes

Become a Full-Stack AI Engineer

Gain end-to-end expertise, from data preprocessing to MLOps and deployment. Master the complete AI lifecycle and position yourself for top-tier roles such as AI Engineer, Machine Learning Engineer, NLP Engineer, or MLOps Engineer.

Understand the "Why" Behind AI

Learn from first principles; implement algorithms like Gradient Descent and Backpropagation from scratch. Understand not just what AI does, but how and why it works, giving you the deep knowledge needed to innovate and solve complex problems.

Master the Tools of the Future

Work with industry-standard technologies including TensorFlow, PyTorch, Hugging Face, Docker, LangChain, and more. Build production-ready systems using the same tools and frameworks used by leading AI companies today.

Build a Professional Portfolio

Graduate with a portfolio of production-ready projects that showcase your technical depth. CAME doesn't just give you a certificate, it gives you industry credibility. It's proof that you can handle complex AI systems, deploy them, and make them work in production.

Who should enroll?

CAME is designed for anyone with ambition and logical thinking. Whether you're:

  • A Software Developer ready to transition into the world of Artificial Intelligence and Machine Learning
  • A Data Analyst or Scientist ready to move beyond dashboards to full-stack AI systems
  • A Graduate or Undergraduate from Computer Science, Engineering, or related fields
  • A Career Changer eager to future-proof your skills in one of the world's fastest-growing fields

No matter your starting point, if you have the drive to learn and the passion to build intelligent systems that make an impact, CAME will take you there.

No advanced math background?

No problem. Our AI & ML Engineering Foundations module is designed to bring you up to speed from the ground up, focusing on the essential mathematical foundations that power Artificial Intelligence and Machine Learning.

You’ll gradually develop a clear and practical understanding of Linear Algebra, Probability, Statistics, and Calculus, the core pillars behind algorithms such as Gradient Descent, Neural Networks, and Decision Trees. Rather than overwhelming you with theory, we focus on building strong mathematical intuition through hands-on examples and visual explanations, helping you see how each formula connects to real-world machine learning problems.

By the end of this module, you’ll confidently understand how math drives model training, optimization, and intelligent decision-making, a skill set that sets true AI & Machine Learning Engineers apart from those who just use pre-built tools.

Your Future Starts Here

This is more than a learning experience, it's a transformation. By the end of this program, you'll speak the language of AI fluently, understand its logic intuitively, and apply its power confidently.

You won't just keep up with the AI revolution, you'll help build it.

Explore the Course Outline