Fast Track your Career with Generation AI’s Data Science Bootcamp

Led by Data Scientists
Live Training
Mentorship
Sign up to our FREE Data Science Webinar:

Next Kickoff:

January 21
Advanced Admission ends November 22

Your Data Science and AI Career starts here.

At GenerationAI, we believe in empowering the next generation of tech innovators. Our Data Science Bootcamp is designed specifically for IT graduates ready to dive into the world of Artificial Intelligence and Machine Learning.

Expert Led Classes – You’ll get over 75 hours of live classes from some of the best Data Scientists and ML Engineers in the field.

1:8 Student: Teacher Ration – Small class sizes make better engineers, that’s why we limit our class sizes.

Professional Development plan – We get you career-ready, you’ll get 1:1 time with our Instructors to run interview prep and mock interviews.

Course Overview

Duration: 24 Weeks (Part-time)

Curriculum:

PREP WORK

Before diving into the course, students will complete foundational prep work that includes an overview of data science principles and essential software installations. This self-paced module ensures everyone is ready to engage fully with the course content.

PYTHON

Kick off your journey with a comprehensive introduction to Python, the go-to programming language for data science. In this module, you’ll learn syntax, data structures, and libraries like NumPy and Pandas.

DATA ANALYSIS

You’ll learn how to extract meaningful insights from raw data. This module covers essential techniques in data cleaning, exploratory data analysis (EDA), and visualization using tools like Matplotlib and Seaborn.

DECISION SCIENCE

In this module, you’ll explore decision-making frameworks, statistical methods, and the art of interpreting data results. You’ll gain skills in A/B testing, hypothesis testing, and creating actionable recommendations that stakeholders will value.

MACHINE LEARNING

This module covers supervised and unsupervised learning, regression, classification, and clustering. Hands-on projects will give you practical experience implementing machine learning models, preparing you for real-world applications.

DEEP LEARNING

This module focuses on key architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). You’ll gain experience building and training deep learning models using popular frameworks like TensorFlow and PyTorch, setting you apart in the job market.

NLP / LLM

You’ll gain hands-on experience with key concepts like text preprocessing, sentiment analysis, and language models and learn about libraries such as NLTK and spaCy, preparing you to tackle real-world NLP challenges in applications ranging from chatbots to text classification. You’ll learn how LLMs work, their architecture, and their applications in various domains. Engage in hands-on projects that involve fine-tuning pre-trained models for specific tasks, enabling you to harness the capabilities of models like GPT and BERT in innovative ways.

(LANGCHAIN)

This module will guide you through building complex applications that integrate LLMs with data sources, APIs, and user interfaces. Learn how to create robust, interactive applications that leverage the strengths of LLMs to solve real-world problems.

ML ENGINEERING

You’ll explore the end-to-end ML lifecycle, including model deployment, monitoring, and optimization. Learn best practices for model validation, version control, and cloud-based deployment to ensure your models are robust and scalable in production environments.

GENERATIVE AI

This module explores techniques like Generative Adversarial Networks (GANs) and their applications in real-world scenarios. You’ll learn to leverage generative models for innovative solutions in various industries, preparing you for the future of AI.

Hands-On Projects: Work on real-world datasets and build a portfolio that showcases your skills to future employers.

Affordable Tuition

We offer flexible payment plans to fit your budget. Explore options including:

Flexible Payments
$3,600
3 payments of $ 1,200

Includes:

Upfront Payment
$3,000 (20% off)
1 upfront of $3,000

Includes:

Admissions

We re committed to making your admissions process simple, helpful, and personalized. Whether you’re experienced or just a beginner, we ll discuss all your enrollment options to support your career goals.

01
Apply

Submit the 5-minute application form—just nit the Apply Now button on this page its fast ana free, plus we ll process your application immediately.

02
Admissions call

After you apply, an admissions team member will call you to discuss vour background and goals, plus they will he p answer your questions

03
Skills survey

we ll send a skills survey to to test your programming language familiarity and statistics knowledge.

04
Enroll

Select a payment plan ana start date via the link emailed by the admissions team. Then get ready to transform your career

Join Us Today!

Ready to take the next step in your career? Places are limited, so don’t hold back!

Still Undecided? Reserve a space on our FREE Data Science Webinar to find out more. 🚀

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