Artificial Intelligence
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and perform tasks that typically require human intelligence.
About Artificial Intelligence
Artificial Intelligence (AI) is an Intelligence given to particular bot to perform particular task. It is as similar as teaching new born baby until he becomes adult about Does and Don’ts you want him to do.
Similarly, we train our machine / code in order to get particular output to perform particular task. It is one of the trending field for career.
In this Tech Cryptor’s Artificial Intelligence course you will learn about coding in Python & R language . We will be using PyCharm & RStudio for coding, which are one of the software’s used at professional level. We will be performing different algorithms by practical coding, also we will be making different projects based on ML.
We have Trained professionals from
Installation of software’s like python
Learn about rules of Variables, Input/Output in Python.
Learn & code about Arithmetic, Relational, Logical, Assignment, etc. Operators used in Python.
Create & understand different types loops, switch statements.
Performing & understanding data types, strings etc. practically.
Type Casting
Python Input
Functions
Exception
Class – Method – Constructor
Learn to create Arrays and its different operations in Java
Inheritance
Polymorphism
Regular Expression
File Handling
Arguments
Performing digit recognizer practically on your laptop.
Coding for making your own CHAT BOT.
Learning different regression algorithms using python.
Practically performing them to get output by understanding logic.
Learning & Understanding concept behind NEURAL NETWORKS.
Practically coding for neural network.
Build a fully connected ANN to classify handwritten digits from the MNIST dataset
Understand how neurons work, weight adjustments, bias, and backpropagation
Learn about activation functions like ReLU and Softmax
Implement training loops and monitor performance with loss and accuracy metrics
Visualize model predictions and misclassifications
Learn how CNNs detect spatial hierarchies in images using convolution and pooling layers
Train a CNN to classify MNIST dataset images
Understand feature extraction, filter kernels, and stride/padding
Use dropout, batch normalization, and data augmentation to improve accuracy
Visualize feature maps and understand what the model "sees"
Perform text preprocessing: tokenization, padding, word embeddings
Build an RNN model to classify text as positive or negative
Explore different RNN variants like LSTM for better performance
Use real-world datasets like IMDB Movie Reviews for training and evaluation
Making your own project for Converting Images into Texts
Understanding basic logic behind Graphical User Interface using Python.
Making your own project for Converting Images into Texts.
Coding a rule-based TIC-TAC-TOE auto-player game using Artificial Intelligence.
Coding for controlling system using voice commands using Artificial Intelligence.
Coding for performing different operations using voice commands.
Making your own JARVIS (Chat assistant), which will listen to your commands for opening Facebook, YouTube & performing arious Operations.
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Original Price
₹26,999 /Course
- Max 4 Students per batch
- 1 to 1 Interaction
- Online & Offline mode
- only Video Training
- limited sessions
- Big batches
Current Price
₹19,999 /Course
- Industry level content
- 100% Practical Training
- Experienced Trainers
- Certification for Course
- Corporate Level Examples
- Many other discounts ASK NOW
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- Free Reattempting of Course
- Long Term Support after Completion
- Free Doubt Solving Sessions / Chats
- Discount for Next Courses
- Real-Time Tasks
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