Artificial Intelligence 5.0 Rating

AI Agents For Mathematics

This 180-hour course explores AI agents through a strong mathematical foundation, covering linear algebra, probability, optimization, and machine learning. Learners will design, analyze, and implement intelligent agents using Python, culminating in a capstone project that integrates theory with real-world AI applications in mathematical domains.

8 Weeks Duration Online Recorded
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About This Program

This 180-hour online program offers a comprehensive exploration of Artificial Intelligence agents through a strong mathematical foundation. Spanning 18 weeks, it covers linear algebra, probability, optimization, machine learning, and reinforcement learning. Learners gain hands-on experience implementing intelligent systems in Python, culminating in a capstone project that applies AI techniques to real-world mathematical problems.

What You Will Learn

AI Engineer
Machine Learning Engineer
Data Scientist
Artificial Intelligence Researcher
Reinforcement Learning Engineer
Robotics Engineer

Technologies & Tools

•Python
•NumPy
•SciPy
•Matplotlib
•PyTorch
•Scikit-learn
•SymPy
•OpenAI Gymnasium
•pgmpy
•NetworkX
•Google Colab

What You Will Get

•Fully functional AI Capstone Project (Code Assistant / DevOps Agent / NL2SQL Engine / Cybersecurity Bot)
•Internship Performance Report
•Certificate of Completion from RAD Infotech
One-time Payment

₹2,499

₹5,000

This Course Includes:

Lifetime Access
Access on Mobile & TV
Certificate of Completion

Course Curriculum

Module 01

Module 1

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Introduction to AI Agents & Mathematical Thinking Link
Day 2: Python for Mathematics — NumPy & SymPy Link
Day 3: Linear Algebra with Python Link
Day 4: Calculus with Python Link
Day 5: Statistics & Probability with SciPy Link
Day6:Machine Learning Fundamentals Link
Assignment Assignment
Module 02

Module 2

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1: Polynomial Regression & Curve Fitting Link
Day 2: Classification — Decision Trees & SVM Link
Day 3:Clustering & Dimensionality Reduction Link
Day 4: Neural Networks — Perceptron & Backpropagation Link
Day 5: Deep Neural Networks with TensorFlow & Keras Link
Day6:Convolutional Neural Networks (CNN) Link
Module 03

Module 3

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1: Recurrent Neural Networks & LSTM Link
Day 2: Transformer Architecture & Attention Mechanism Link
Day 3: NLP for Mathematical Text Processing Link
Day 4:Symbolic AI & Automated Theorem Proving Link
Day 5:Knowledge Graphs for Mathematics Link
Day6:Phase 2 Review — Deep Learning & Symbolic AI Link
Module 04

Module 4

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1: Agent Architectures — Reactive, Deliberative & Hybrid Link
Day 2:Reinforcement Learning — Q-Learning & Policy Gradient Link
Day 3: Multi-Agent Systems Link
Day 4: LLM-Based Agents for Mathematics Link
Day 5:Tool-Using Agents — Function Calling & Code Execution Link
Day6:Memory Systems for AI Agents Link
Module 05

Module 5

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1:Planning Agents — Goal Decomposition & STRIPS Link
Day 2: RAG — Retrieval Augmented Generation Link
Day 3:Agent Evaluation & Benchmarking Link
Day 4: AI for Algebra & Number Theory Link
Day 5: AI for Calculus — AutoDiff & Symbolic Integration Link
Day6:AI for Geometry — Shape Recognition & Proof Checking Link
Module 06

Module 6

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1:AI for Combinatorics & Graph Theory Link
Day 2: AI in Mathematical Modeling — ODEs & Simulation Link
Day 3: Intelligent Tutoring Systems (ITS) Link
Day 4: Automated Math Problem Generation with LLMs Link
Day 5:Automated Grading & AI Feedback Systems Link
Day6:Computer Vision for Mathematics — OCR & Equation Parsing Link
Module 07

Module 7

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Capstone Project Introduction & Selection Link
Day 2:System Design & Data Pipeline Link
Day 3: Topic Name Video
Day 4: Topic Name PDF
Day 5: Topic Name Video
Module Test Quiz
Assignment Assignment
Module 08

Module 8

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Topic Name Video
Day 2: Topic Name PDF
Day 3: Topic Name Video
Day 4: Topic Name PDF
Day 5: Topic Name Video
Module Test Quiz
Assignment Assignment
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