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Programming Fundamentals
Learn how programs run and write your first Java code with variables, decisions, loops and methods.
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Python and AI
Python and AI Fundamentals
Python is the most popular language for data and artificial intelligence. This path teaches Python from installation to functions, then explains in plain language what AI and machine learning mean, how a model learns from data, where AI is used, and how to use AI tools responsibly.
- Free
- Beginner
- 5 lessons
- About 1 hr 15 min
- Final assessment
Lessons in this path
Python setup and syntax
Install Python, run code interactively and from a file, and learn Python's core syntax rules.
12 min Knowledge check Exercise
Variables, conditions and loops
Work with Python's basic types, make decisions with if, elif and else, and repeat work with for and while loops.
15 min Knowledge check Exercise
Lists, dictionaries and functions
Store collections of data in lists and dictionaries, and organise your code into reusable functions.
18 min Knowledge check Exercise
What AI and machine learning mean
Understand the difference between AI, machine learning and deep learning, and how a model learns from data.
15 min Knowledge check Exercise
AI applications and responsible usage
Explore where AI is used today, how generative AI works at a high level, and the practices that make AI use safe and fair.
15 min Knowledge check Exercise
Python and AI Fundamentals assessment
8 questions covering the whole path
Optional next step: DevCrest Academy
Applied AI & Deep Learning with Python
The academy's AI course is an advanced programme. Practise the Python in this path first, then review the course prerequisites to decide whether you are ready for deep learning with guided projects.
- Intermediate to Advanced
- 14 weeks • 100 hours
- Online Live
- From ₹7,500 per student
What you'll learn
- Prepare and analyse data with NumPy and pandas.
- Train and evaluate classical models with scikit-learn and choose appropriate metrics.
- Implement and train neural networks in PyTorch.
- Explain the transformer architecture and attention.
Syllabus preview
- 01Python for Data & Maths Foundations
- 02Classical Machine Learning
- 03Neural Networks with PyTorch
- 04Transformers & Language Models
+ 2 more modules
Prerequisites
- Python programming
- Linear algebra basics
- Basic statistics
Upcoming batches
- Starts 1 Dec 2026 • Tuesday, Thursday & Saturday • Online Live
Hands-on project
An end-to-end AI application combining retrieval, a fine-tuned or prompted language model, and an evaluation report.
Fees and batch dates are sample data pending confirmation
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