Advanced Artificial Intelligence and Machine Learning Using Python
Advanced Artificial Intelligence and Machine Learning Using Python furnishes computers with the ability to learn without being explicitly programmed through AI
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10 DaysGet updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Advanced Artificial Intelligence and Machine Learning Using Python Certification involves a given computer being trained using a unique and distinctive data set, and accurately predicting the properties of a new given data set. For instance, let’s take a common example to get the idea, we can train a computer by feeding 1000 sample images of elephants and 1000 more sample images that are not of an elephant, and tell on any occasion to the computer whether a picture is an elephant or not. Then later on, if we show a new image, from the training given earlier and instructions, the computer can tell whether this new image is an elephant or not.
This computer training process involves the use of specialized and problem-specific algorithms and computer language especially Python in this Advanced Artificial Intelligence and Machine Learning Using Python Certification Course. Product owners want to build apps that perform like a well-oiled machine and hence this requires writing computer algorithms that process information intelligently, making software act like a human. Python practitioners and experts believe that it’s a well-suited language for AI and machine learning.
All students after carrying out tasks like assignments get an Advanced Artificial Intelligence and Machine Learning Using Python Certification by NIT - National Institute of Technology Warangal.
The Highlights
- Provided by NIT Warangal
- Classes handled by industry specialists
- Online course
- Practicals in Artificial Intelligence using Python
- E-Certificate of Completion
Programme Offerings
- short term course
- Elective Programme
- completion certificate
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NIT Warangal |
Advanced Artificial Intelligence and Machine Learning Using Python Certificate Fee payment can be submitted using numerous payment methods like Credit and Debit Cards, or UPI payments.
Registration Fees | Amount |
Faculty | INR 2,000 |
| Industry Professionals | INR 1,000 |
| Foreigner | USD 50 |
Eligibility Criteria
Educational Qualification
The Programme is open to Research scholars, Industry Professionals, MCA Students, MBA Students, Degree Students, Polytechnic Students, and other eligible students.
What you will learn
Students enrolled in this Advanced Artificial Intelligence and Machine Learning Using Python Training discuss and learn about the core concepts and algorithms of advanced Artificial Intelligence, including informed searching, Constraint satisfaction problems (CSP), logic, graphical models, decision making, multiagent, inductive learning, statistical learning, reinforcement learning, uncertain knowledge and reasoning, dynamic Bayesian networks, deep learning, natural language processing (synthesis of natural language and speech)and many such things.
They also learn to apply the basic principles and algorithms of AI to recognize and solve problems of information systems.
All students will be capable of performing these after completion of the Advanced Artificial Intelligence and Machine Learning Using Python Online Course:
- Understand the real-world problems in AI (Artificial Intelligence).
- Gain knowledge in solving ML (Machine learning) and DL (Deep Learning)
- Analyze the structures related to searching, reasoning,
- Algorithms of a selection of techniques in machine learning, and language processing.
- Review research articles from well-known AI journals
Who it is for
There shall be ample job opportunities for these roles below if the relevant students apply for Advanced Artificial Intelligence and Machine Learning Using Python Online Course:
- Software analysts
- Software Developers
- AI Data Analyst
- Computer scientists
- Computer engineers
- Algorithm specialists
- Research scientists
- Surgical technicians working with robotic tools
- AI Engineer
- Data Mining and Analysis
- Machine Learning Engineer
- Big Data Engineer
Admission Details
The admission for the certificate course in Advanced Artificial Intelligence and Machine Learning Using Python starts soon for limited seats of 250 only. Interested candidates are requested to enroll in this Machine Learning With Python Certification Course as soon as possible by following the steps mentioned below:
Step 1: Open the form: https://forms.gle/DdJxfh134Mav9L7N6
Step 2: Fill in the details
Step 3: Upload necessary documents
Step 4: Pay the fees
Step 5: Wait for Confirmation
Application Details
Students interested in Advanced Artificial Intelligence and Machine Learning Using Python Classes can contact Dr. Raju Bhukya, Assistant Professor, Department of CSE, NIT Warangal, on mobile: 9700553922, 8332969733 or on email at raju@nitw.ac.in, cce@nitw.ac.in
The Syllabus
- Getting Started,
- Keywords and Identifiers,
- Python Operators,
- Python Namespace,
- Python I/O and import,
- Statements & Comments,
- Python Variables,
- Python Data Types,
- Python Type Conversion
- Python if...else,
- Python for Loop,
- Python while Loop,
- Python break and continue,
- Python Pass
- Python Functions,
- Function Argument,
- Python Recursion,
- Anonymous Function,
- Global, Local and Nonlocal,
- Python Global Keyword,
- Python Modules,
- Python Package
- Python File Operation,
- Python Directory,
- Python Exception
- Python Exception Handling,
- Python User-defined Exception
- Python OOP,
- Python Class,
- Python Inheritance,
- Python Operator Overloading
- Python Iterator,
- Python Generator,
- Python Closure,
- Python Decorators,
- Python Property,
- Python Reg Ex,
- Python Example.
- ANN,
- Back Propogation,
- RNN,
- Types of RNN,
- Deep RNN and Bidirectional LSTM
- Jupiter Notebooks,
- Anaconda,
- Tensorflow,
- CUDA
- Pandas,
- Numpy,
- Matplotlib
- Bagging, boosting,
- Gradient boosting,
- Random forest,
- Xgmboost,
- GRU and Auto encoder
- Introduction to AutoML Light AutoML
- Ventilator pressure prediction,
- Regression through gradient descent,
- Particle swarm optimization,
- Teaching Learning based Optimization.
- Optimization through meta heuristic techniques
- CNN and its applications in Medical Image Processing and natural language processing,
- Text classification using Google Bert Model
- Future Credit card customer prediction system using Xgboost and light gbm,
- Multi Language Machine Translation using NLP,
- Emotion Recognition using NLP Techniques
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