PregleAI

AI Internship Course Details

We offer courses of varying durations, including three months, six months, and one year, that are tailored to suit the specific needs and goals of our candidates. To facilitate practical learning and implementation, we have set up an advanced AI Lab that is fully equipped with high processing GPUs, enabling the design and execution of complex AI projects. Each candidate is assigned a high computing PC on the first day of the course, allowing them to access the lab from the comfort of their own home and engage in practical learning and project implementation.
We offer regular classes for students, as well as flexible scheduling options for working professionals. Our team is dedicated to creating a customized schedule that meets the needs and availability of each individual candidate, ensuring that they can fully engage in their coursework while balancing other commitments.

Join us and embark on a journey of discovery and innovation in the exciting world of AI! Our cutting-edge courses are designed to equip you with the knowledge, skills, and practical experience needed to succeed in this dynamic field. Whether you are a student looking to jumpstart your career or a working professional seeking to enhance your skillset, our flexible and customized courses will empower you to achieve your goals and realize your full potential. Don't wait - start your AI journey with us today!

We provide ample opportunities for our candidates to engage in hands-on learning and practical implementation through a variety of projects. While we encourage our candidates to pursue projects according to their interests and level of dedication, we do require that they complete a minimum number of projects as outlined in our plan. This is to ensure that our candidates receive a comprehensive and well-rounded education in AI, with practical experience in a range of applications and domains. Please refer to the table for the minimum number of projects required.

Duration

3-Months Plan (Jan-Mar, 2025)

Duration: 3-Months
Training session: 3-5 Hours Everyday
No. of Projects:3

6-Months Plan (Jan-Jun, 2025)

Duration: 6-Months
Training session: 3-5 Hours Everyday
No. of Projects: 6

One Year Plan (Jan-Dec, 2025)

Duration: 12-Months
Training session: 3-5 Hours Everyday
No. of Projects: 12

AI Internship Course Contents

The course content listed below is not exhaustive, as we are committed to incorporating the latest advancements in the field of AI and machine learning. We recognize the importance of remaining flexible and adapting to the ever-evolving landscape of technology. Therefore, we will continuously assess and modify the course to ensure that we are providing our students with the most comprehensive and relevant learning experience possible.

Computer Vision

Object detection

Image classificati

Image segmentation

Keypoint detection

Statistics

Probability theory

Inferential statistics

Exploratory data analysis

Bayesian statistics

Statistical learning

Python

Basic programming concepts

Data structures

Control structures

Functions

Modules and packages

Object-oriented programming

Exception handling

Deep Learning

Artificial neural networks

Convolutional neural networks

Recurrent neural networks

Autoencoders

Generative adversarial networks

Transfer learning

Optimization algorithms

Regularization

Dropout

Batch normalization

Transformers

Data Science

Data visualization

Data preprocessing

Statistical analysis

Exploratory data analysis

Data cleaning

Data wrangling

Feature engineering

Data mining

Data warehousing

Big data

Data integration

Data pipelines

Machine Learning

Regression

Classification

Clustering

Decision trees

Random forests

Support vector machines

K-nearest neighbors

Neural networks

Principal component analysis

Ensemble methods

Reinforcement learning

Bayesian learning

Model evaluation

Natural Language Processing & GenAI

Text classification

Sentiment analysis

Topic modeling

Word embeddings

Named entity recognition

Part-of-speech tagging

Text summarization

Machine translation

Language generation

Sequential data processing

LSTM

GRU

Transformers

Encoder/decoder architectures

LLM

AI Agents

RAG

it's always good to have flexibility in the course content. By not limiting the course to just these topics, we can ensure that we can incorporate the latest developments in AI and machine learning into the curriculum. This also allows us to customize the course to the specific needs and interests of each student, ensuring that they are getting the most out of their learning experience. Some potential additional topics that could be covered include:

Recommender systems
Time series analysis
Reinforcement learning
Deep reinforcement learning
Natural language understanding
Speech recognition
Audio processing
Graphical models
Bayesian networks
Unsupervised learning
Transfer learning
Adversarial attacks and defenses
Explainable AI
Ethics and biases in AI

By covering these topics in a comprehensive AI course, students will have a solid understanding of the key concepts and techniques used in data science, machine learning, deep learning, natural language processing, and computer vision. They will also have practical experience with implementing these techniques in Python and working with real-world datasets.

Software and Tools

To ensure that we are providing our candidates with the most advanced AI and machine learning solutions, we utilize a variety of tools and technologies. These include popular deep learning frameworks such as TensorFlow and PyTorch, as well as natural language processing libraries such as NLTK and Spacy. In addition, we leverage tools like Librosa for audio analysis, OpenCV for computer vision tasks, and Pandas for data manipulation and analysis. Our team is well-versed in the latest tools and technologies, and is always exploring new and emerging solutions to ensure that we are at the forefront of the field.