Description
Artificial intelligence refers to machines and systems that are programmed to imitate human intelligence in the tasks they need to perform and that can improve themselves in a way that is integrated with human intelligence.
In our digitalizing world, AI operates as a life facilitator in many areas in different ways.
Although we use AI applications while walking on the road, looking for directions, listening to music, translating languages, even while doing sports, we are not aware that all these are AI products. It is even possible to say that AI applications are fully integrated into our lives.
The moment we open the screen of our smartphone with a face recognition lock, the moment the document tool we use while preparing a document presents our spelling mistake as an auto-correction suggestion, or when we encounter online robots that help us with a text such as “I can help you.” in the lower right corner while shopping online are just a few examples of the fact that we are actually confronted with the presence of yz.
AI products, which appear as a roboticized version of human mind and abilities, now work and produce like humans.
With this course you will learn what artificial intelligence is and how it works.
The training has been prepared in detail and consists of 3 core modules.
About Training
Training Objectives:
- They will see what exactly AI is and what concepts it encompasses,
- Will learn the working mechanics of AI and how to execute AI applications effectively,
- Understand how being competent in the field of AI offers an advantage in business life,
- Will see how to develop AI applications used in the field of digital security,
- Explore how AI applications are used in daily life and business life,
- You will learn AI developer software and coding terms and in which situations these coding languages will be used.
Training Content:
1.DATA ANALYSIS AND VISUALIZATION (1ST MODULE)
- Introduction to Artificial Intelligence
AI Methods
AI Terms
Working Areas of AI Understanding Artificial Intelligence through the Human Model
Technologies Used to Develop Artificial Intelligence Applications
- Python Programming Language
Python Programming Language Overview
Preparing the Python Development Environment
Python Basics
Object Oriented Programming (OOP) with Python
Database Operations with Python Web & API Programming Basics with Python (for ML Model Deployment)
- Machine Learning Libraries
Pandas
Numpy
Scikit-learn
TensorFlow
PyTorch
- Data Analysis and Visualization
Overview of Data Analysis and Visualization
Matplotlib Library
Seaborn Library
- Natural Language Processing (NLP)
Overview of Natural Language Processing
NLTK Library
spaCy Library
- MACHINE LEARNING (2ND MODULE)
- Overview
Introduction to AI
AI Methods
AI Terms
Working Areas of AI
Understanding AI through the Human Model
Technologies Used to Develop AI Applications
- Probability and Statistics
- Data Preprocessing
- Regression
- Classification
- Developing a Machine Learning Model
- End-to-End Machine Learning Applications
3.DEEP LEARNING (MODULE 3)
The main objectives of this course are to provide sectoral awareness on artificial intelligence to people with basic computer knowledge and experts working in the Information Technology (IT) sector, to explain the basics of Python programming language and to examine the most basic tools necessary for developing artificial intelligence software in practice.
- Deep Learning Overview
- Deep Learning Subtopics, Algorithms and Requirements
- Understanding Neural Network
- DBM : Deep Boltzmann Machine
- DBN : Deep Belief Networks
- RNN : Recurrent Neural Networks
- LSTM : Long Short-Term Memory Network
- CNN : Convolutional Neural Network
R-CNN
Fast R-CNN
Faster R-CNN
Mask R-CNN
- Deep Learning with TensorFlow
- Deep Learning with PyTorch
- Computer Vision
Foundations
Computer Vision Tools
OpenCV
- Computer Vision
- Computer Vision with Deep Learning
- PyTorch + OpenCV
- TensorFlow + OpenCV
- Reinforcement Learning
- Bringing a Machine Learning Startup Idea to Life
Idea Generation
Idea Analysis : Analysis According to Technical Realities
Technical Analysis : Technical Planning and Calculation
Technical Staff : Preparation of Technical Staff according to Project Type
Management : AI Project Management
Technical Scaling : Scaling the Product for Thousands of Instant Services
Who Should Receive the Training?
- Anyone who is curious about Artificial Intelligence and wants to master innovative technologies,
- Those who work in the IT sector and want to improve themselves in this field,
- Experts working in the information technology (IT) sector and those who want to improve themselves in this field,
- Those who want to develop artificial intelligence software,
- Anyone who wants to gain sectoral awareness on artificial intelligence can participate.
Requirements
- Experience in any programming language.
- Knowledge and experience in Python programming language.
- To have a basic knowledge of the technical and theoretical foundations of artificial intelligence.
- Knowledge of basic libraries such as NumPy, Pandas, scikit-learn, PyTorch and TensorFlow.
Plan this training for your business!
This training can be planned in different durations and content specific to your organization. Please contact us for detailed rich content and planning to realize your training objectives.
