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Nimbl Academy

Artificial Intelligence Integrator from Scratch

750 000 ₸
Allocated 38 Quotas

- Studying the basics of machine learning and artificial intelligence, their history, and types. Learning Python and major libraries for machine learning. -Creating machine learning models using regression, classification, and clustering algorithms. -Exploring the process of developing and deploying machine learning models. -Studying neural networks, including convolutional and recurrent, and building models on frameworks like PyTorch and TensorFlow. -Exploring natural language processing and computer vision, creating relevant models. -Learning to work with various types of databases and cloud computing. -Creating and deploying models in Kubernetes environment, learning TensorFlow servicing. -Developing full-scale projects using the skills and knowledge acquired.

Special condition

The amount not covered by the grant, totaling 150,000 KZT (one hundred fifty thousand tenge), must be paid by the student independently. There is also a security deposit of 300,000 KZT, which is returned to the student upon full completion of all course modules and successful defense of the thesis.

Course details

level

For beginner

Study format

Online

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

156

Education language

Russian

Classes days_of_week

Mon-Wed-Fri

Teaching methodology

There are more practices than theories

Qualifications

Junior(Strong) AI разработчик

Classes format

Online lessons 3 times a week for 2 academic hours

Skills


During the artificial intelligence integration program, you will acquire many important skills and gain valuable knowledge.

First, you will master techniques for implementing and using artificial intelligence in various fields.

You will learn to apply Python libraries and tools such as NumPy, Pandas, TensorFlow, and others to solve tasks related to data collection/mining, data management, data processing, data cleansing, data reshaping, EDA (Exploratory Data Analysis), data visualization, and data reporting.

Additionally, you will become familiar with various methodologies such as CRISP-DM and explore areas of computer vision (OpenCV), face recognition, and the deployment of neural networks and large language models (LLM).

You will learn to deploy machine learning models and process images.

As a result of the training, you will become a sought-after specialist capable of successfully integrating artificial intelligence into websites, platforms, applications, and business processes.

You will have all the necessary skills and tools to work with data and apply artificial intelligence in practical projects.

FAQ

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