Artificial Intelligence Training by Experts
Our Training Process
Artificial Intelligence - Syllabus, Fees & Duration
Module 1: Introduction to Data Science
- What is Data Science?
- What is Machine Learning?
- What is Deep Learning?
- What is AI?
- Data Analytics & it’s types
Module 2: Introduction to Python
- What is Python?
- Why Python?
- Installing Python
- Python IDEs
Module 3: Python Basics
- Python Basic Data types
- Lists
- Slicing
- IF statements
- Loops
- Dictionaries
- Tuples
- Functions
- Array
- Selection by position & Labels
Module 4: Python Packages
- Pandas
- Numpy
- Sci-kit Learn
- Mat-plot library
Module 5: Importing Data
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
Module 6: Manipulating Data
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
Module 7: Statistics Basics
- Central Tendency
- Probability Basics
- Standard Deviation
- Bias variance Trade off
- Distance metrics
- Outlier analysis
- Missing Value treatment
- Correlation
Module 8: Error Metrics
- Classification
- Regression
Module 9: Machine Learning
- Supervised Learning
- Linear Regression
- Logistic regression
Module 10: Unsupervised Learning
- K-Means
- K-Means ++
- Hierarchical Clustering
Module 11: SVM
- Support Vectors
- Hyperplanes
- 2-D Case
- Linear Hyperplane
Module 12: SVM Kernel
- Linear
- Radial
- polynomial
Module 13: Other Machine Learning algorithms
- K Nearest Neighbour
- Naïve Bayes Classifier
- Decision Tree CART
- Decision Tree C50
- Random Forest
Module 14: ARTIFICIAL INTELLIGENCE
- Perceptron
- Multi-Layer perceptron
- Markov Decision Process
- Logical Agent & First Order Logic
- AL Applications
Module 15: Deep Learning Algorithms
- CNN Convolutional Neural Network
- RNN Recurrent Neural Network
- ANN Artificial Neural Network
Module 16: Introduction to NLP
- Text Pre-processing
- Noise Removal
- Lexicon Normalization
- Lemmatization
- Stemming
- Object Standardization
Module 17: Text to Features
- Syntactical Parsing
- Dependency Grammar
- Part of Speech Tagging
- Entity Parsing
- Named Entity Recognition
- Topic Modelling
- N Grams
- TF IDF
- Frequency / Density Features
- Word Embedding
Module 18: Tasks of NLP
- Text Classification
- Text Matching
- Levenshtein Distance
- Phonetic Matching
- Flexible String Matching
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 60 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Rotorua
- Mobile App Develpment Courses in Rotorua
- Website Design Courses in Rotorua
- Networking and Security Courses in Rotorua
- Digital Marketing (SEO) Courses in Rotorua
- Graphics Training Courses in Rotorua
- Cloud Computing Courses in Rotorua
- Mean Stack Development Courses in Rotorua
- Python Full Packages Courses in Rotorua
- Animation & Video Editing Courses in Rotorua
- Mern Stack Development Courses in Rotorua
Course Highlights
Featured Courses
Artificial intelligence has the possibility to be a valuable tool for forecasting the outcomes of processes and systems.
.
In some situations, AI-enabled machines are even smarter than humans. Artificial intelligence (AI) is the previously inconceivable ability of a computer-controlled robot to do tasks that would otherwise need human intelligence. The creation of Ai may necessitate the use of a variety of languages and technologies to create a solution that meets a variety of aims and requirements. Of course, simulating human intelligence is a difficult endeavor that necessitates expertise in areas such as cybersecurity, blockchain, robotics, generative AI with virtual reality, edge AI with IoT, and edge computing. When it comes to acquiring and analyzing large analyzing of data to improve potency and personalization, AI is quite effective. Now and again, humans make blunders. We are here to help you from the beginning of the course until the very conclusion, including resume-building advice and interview recommendations. Computers, on the other hand, will avoid making these errors if they are correctly programmed.
