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Master Machine Learning, Deep Learning, Neural Networks and real-world AI application development — build, deploy and optimise intelligent systems used by global tech companies.
Delivered by ThoorigAI Infotech in partnership with Elysium Academy
NumPy · Pandas · Linear Algebra · Statistics
Scikit-learn · Regression · Classification · Clustering
TensorFlow · PyTorch · CNNs · RNNs · Transformers
OpenAI API · Hugging Face · LangChain · RAG
FastAPI · Docker · Cloud · Model Monitoring
From ML fundamentals to production-ready AI applications.
Total Training Duration
Practical AI Projects
Student Rating
Tech Hiring Partners
Avg. Salary Growth
Every company — startup to enterprise — is urgently hiring developers who can build real AI-powered applications
A complete, end-to-end AI engineering education — from mathematical foundations to building and deploying production-grade AI applications
Build rock-solid foundations — supervised and unsupervised learning, model evaluation, overfitting, regularisation, and the mathematical principles behind every ML algorithm from the ground up.
Master CNNs for computer vision, RNNs and LSTMs for sequential data, Transformer architectures, and attention mechanisms — the deep learning models powering today's AI revolution.
Build real-world vision applications — image classification, object detection, face recognition and video analysis using OpenCV, TensorFlow and PyTorch with hands-on project work.
Work with text data end-to-end — text preprocessing, sentiment analysis, named entity recognition, and building applications powered by Large Language Models via OpenAI and Hugging Face.
Build generative AI applications — prompt engineering, RAG pipelines, AI agents and custom LLM-powered chatbots using LangChain and the OpenAI API with real deployment experience.
Deploy AI models to production — build REST APIs with FastAPI, containerise with Docker, deploy to cloud platforms, and implement model monitoring across the full ML lifecycle.
This is a developer-focused AI programme — designed for those who want to build real AI systems, not just understand the theory
Already coding? This course adds AI/ML engineering to your skill set — the single biggest career accelerator available to developers in 2026.
Bridge the gap between your degree and industry — learn to build production AI systems that companies are actively hiring for right now.
Take your data skills to the next level — learn deep learning, neural networks and deployment to transition into higher-paying AI engineering roles.
Strong Python fundamentals are the only prerequisite — this structured 90-hour programme takes you from Python developer to AI engineer with hands-on projects at every stage.
24 structured modules — from Python & maths foundations through ML, deep learning, computer vision, NLP, generative AI and production deployment
Understanding what makes an AI engineer different — and why companies are paying premium salaries to hire them
| Dimension | AI Engineer This Course | Traditional Developer |
|---|---|---|
| Core Skill | Build systems that learn from data and improve over time | Build systems with explicit rules and fixed logic |
| Key Tools | TensorFlow, PyTorch, Scikit-learn, LangChain | Frameworks like Django, Spring Boot, Express.js |
| Problem Solving | Statistical modelling, pattern recognition, probabilistic reasoning | Algorithmic logic, data structures, system design |
| Output | Trained models, AI APIs, intelligent applications | Web apps, REST APIs, software systems |
| Avg. Salary (India) | ₹10L – ₹25L+ per annum | ₹4L – ₹12L per annum |
| Job Growth (2026) | 40%+ year-on-year globally | 8–12% year-on-year |
| Industry Demand | Critical shortage — every sector hiring urgently | Healthy demand — competitive market |
Build real AI applications — an image classifier, an LLM-powered chatbot, and an ML prediction engine — all deployable and portfolio-ready.
Personalised guidance from AI engineers with real experience building production ML systems at global tech companies.
Earn your Elysium Academy AI Engineering certification — recognised by 400+ tech hiring partners and valued by top IT companies worldwide.
Work with real-world datasets across every module — each assignment mirrors what AI engineers handle on the job at product and service companies.
Deep-dive sessions with AI engineers covering live coding, system design for AI applications, and mock technical interviews.
Access your trainers after the programme for project debugging, algorithm questions, and career guidance as you land your first AI role.
AI engineers are the most sought-after and highest-paid professionals in the global tech industry — this course positions you for all major AI engineering roles
Design and build machine learning systems and intelligent applications for production environments
Develop neural network architectures for computer vision, NLP and multimodal AI applications
Build LLM-powered products — chatbots, RAG systems, AI agents and Gen AI applications
Build image recognition, object detection and video analysis systems using CNNs and OpenCV
Manage the ML lifecycle — deployment, monitoring, CI/CD pipelines and production scaling
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