Credit Risk Model with XGBoost
Build, tune and explain a credit risk classifier, comparing random forests, XGBoost and LightGBM.
- Feature engineering
- XGBoost tuning
- Model comparison
- Explainability
ML CAREER SUPPORT
This machine learning diploma with placement support is built on 15+ real projects. Over 12 months you train and deploy models for forecasting, vision and language, use Gen AI and show it all on GitHub, preparing you for ML engineer, AI engineer and data scientist roles.
Course Roadmap
Twelve modules take you from Python basics to deep learning, computer vision, NLP and production MLOps. Every module of this diploma in machine learning is AI-integrated, with a dedicated module on machine learning with Gen AI.
Not sure if you are ready? Book a free demo class →
ML Skills Stack
Beyond tools, the course builds problem-solving, clean coding habits, practical AI skills and the ability to explain models to business teams.
Portfolio Projects
Each project uses real data, ends with a working model or app, and goes into your GitHub portfolio.
Build, tune and explain a credit risk classifier, comparing random forests, XGBoost and LightGBM.
Forecast product demand with ARIMA, Prophet and ML models and present the forecast to a manager.
Train an object detector with YOLO and OpenCV for a real use case such as safety gear or product defects.
Fine-tune a BERT model with Hugging Face to classify support tickets or reviews and deploy it as a web app.
Combine an LLM with LangChain to answer business questions and draft marketing content, then test the answers.
Take a model from notebook to production with FastAPI, Docker, MLflow and AWS, with basic monitoring.
ML Tools
This diploma works as a complete computer vision and NLP course too, using the frameworks ML teams rely on to build, train, track and deploy models.
Choose a practical learning path based on your current level, specialization goals, and time commitment.
The shorter path: Python, ML, deep learning, NLP, computer vision and MLOps in 6 months.
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Deep learning to LLM fine-tuning, AI agents, RAG and MLOps for GenAI engineering roles.
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Python, statistics, machine learning, big data and deeper AI for senior data science roles.
Explore Program →Compare our courses and find the right fit for your AI journey
12 Months
Learners aiming for ML engineer and AI engineer roles
6 Months
Learners who want core ML skills in 6 months
12 Months
Learners focused on GenAI engineering
12 Months
Learners targeting senior data science roles
From your first line of Python to an ML engineer role — here's exactly how we take you there over 12 months.
Meet your course counsellor, choose a batch, and get a clear 12-month plan for the machine learning diploma.
Learn Python, Git, statistics and data analysis, with AI tools used from day one.
Master supervised and unsupervised learning, XGBoost and time series forecasting.
Build deep learning, computer vision, NLP and Gen AI projects with TensorFlow, PyTorch and Hugging Face.
Deploy your capstone with FastAPI, Docker and AWS and earn your diploma with Skill India recognition.
Get placed as an ML engineer, AI engineer or data scientist with our placement team.
This 12 month machine learning course is built for people who want deep, job-ready AI skills. Here is exactly who will benefit most.
Start an AI career with deployed projects that prove your skills to employers.
Add machine learning, deep learning and MLOps to your skill set and move into AI engineering.
Go beyond dashboards and build predictive models that forecast and automate decisions.
Use your maths and logic skills to move into one of the fastest-growing fields.
Learn how AI can solve problems in your industry and open new career paths.
Enter AI from any background with Python taught from zero and step-by-step projects.
What Our ML Diploma Students Say
"I joined DizitalAdda for the Diploma in Machine Learning & AI. The course helped me understand artificial intelligence and machine learning from the basics. The trainers explain technical concepts with practical examples, which makes learning easier."
"I wanted to learn Python for artificial intelligence, and this diploma has been a useful learning experience. I learned programming fundamentals and how Python is applied in machine learning projects. The practical exercises are really helpful."
"The practical sessions at DizitalAdda are one of the best parts of the course. I got to understand different machine learning algorithms and how they are used to solve real-world problems. The trainers are supportive throughout the learning process."
"I was interested in learning deep learning and neural networks. The course introduced me to these concepts in a structured way. The trainers use simple examples to explain complex AI topics."
"I was searching for a Machine Learning & AI diploma course in Delhi and found DizitalAdda. The course covers Python, machine learning, and deep learning concepts. I particularly appreciate the practical teaching approach."
"The diploma helped me understand how artificial intelligence is used in different industries. Learning about machine learning models, predictive analytics, and AI applications was very interesting. It has increased my interest in this field."
"What I liked most about DizitalAdda is the opportunity to learn through practical assignments. Working on machine learning exercises helped me understand how models are trained and how data is used to generate predictions."
"The trainers are knowledgeable and explain Python and machine learning concepts step by step. Even when I find a topic difficult, they help me understand it through examples. My overall learning experience has been positive."
"I joined this diploma to develop technical skills in AI and machine learning. The programme introduced me to Python programming, deep learning, and different machine learning techniques. It has helped me understand the skills needed in this industry."
"My experience with the Diploma in Machine Learning & AI at DizitalAdda has been valuable. I gained knowledge of Python, machine learning algorithms, neural networks, and AI applications. The practical learning approach made the course more engaging."
Machine Learning Diploma
The DizitalAdda Diploma in Machine Learning and AI is awarded after the 12-month programme and your production capstone. It is backed by a GitHub portfolio of 15+ projects across classical ML, forecasting, computer vision, NLP and Gen AI.
The diploma covers Python, statistics, supervised and unsupervised learning, XGBoost, time series, deep learning, computer vision, NLP, transformers, Gen AI and MLOps, with Skill India recognition and module certificates.
It is your launchpad to ML engineer, AI engineer, data scientist, NLP and computer vision roles, supported by 100% Placement Assistance and 250+ hiring partners.
Learn From The Best
At DizitalAdda, your trainers are full-time industry professionals who work on live projects and deliver results every day.

10+ years in Digital Marketing and Data Science
Training Head with over 10 years of experience in marketing strategies and content writing.

7+ years in Data Science and AI
Teaches data analytics, generative AI, and automation with real-world applications.

5+ years in Data Analytics
Helps students build full projects using modern tools and frameworks.
Our Greater Kailash II campus, home to the machine learning diploma in Delhi, reflects a real corporate tech environment — focused, distraction-free and performance-driven, with modern lab facilities. Prefer to learn from home? Join the online diploma in machine learning with the same live classes.
Max 15 students per batch for personalized attention
Real project desks & live AI tools
10+ years industry experience instructors
Free Session
Choose a date for your free demo session and speak with our team about the diploma syllabus, projects and career path.
Short answers to common questions about the course, AI careers and what you build during training.