Data Science
Beginner to Mastery
Cutting-edge Data Science Tools.
Comprehensive curriculum covering R, statistics, machine learning, and deep learning..
Strong emphasis on practical application through hands-on projects.
Flexible program design to accommodate learners from diverse backgrounds.
Group Enrollment with Friends or Colleagues
240 Hours
14 September 2025
Live. Online. Interactive.
Cutting-edge focus on deep learning for AI proficiency.
Equip graduates with in-demand skills for successful careers in data science.
Industry-relevant case studies to bridge the gap between theory and real-world problem-solving.
Work on real-world projects and case studies to apply concepts practically and build a strong portfolio.
Gain practical experience with advanced tools like GPT, DALL-E 2, and Hugging Face Transformers.
Master everything from Python programming to cutting-edge AI techniques.
Learn the latest AI and generative technologies shaping the future.
Boost your qualifications and open doors to advanced AI roles.
14 September 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This Program offers a deep dive into fundamental AI technologies, Python programming language and essential libraries for machine learning image processing etc. Participants will learn cutting-edge tools such as Hugging Face Transformers, GPT, DALL-E 2.0, MidJourney, GANs, RAG, LanguageChain. The curriculum integrates theoretical understanding with real-world use-cases to develop a skills-rich ecosystem capable of utilizing AI and generative technologies at an advanced level.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →The course aims to provide participants a thorough understanding of AI technologies with its more high-level programming side. After completing this, the student will be proficient in python programming and have experience working with Hugging Face Transformers, GPT, DALL-E 2, MidJourney. Then they can integrate those levels of solutions into their AI application. And will be equipped with hands-on experience on GANs, RAG and LangChain to face the complex challenges and innovations in the AI community.
Enroll Now →Gain proficiency in R, statistical analysis, and data visualization to effectively explore and understand data.
Learn machine learning and deep learning techniques to create intelligent systems for accurate predictions.
Discover hidden patterns and insights within your data through data analysis and feature engineering, driving informed decision-making.
Innovative ways of communicating detailed understanding and findings with data visualisation techniques.
Gain skills that can lead you to top jobs in data science, machine learning, and deep learning.
Apply your knowledge through real-world case studies and projects, building practical experience and a strong portfolio.
Equip yourself with R packages and frameworks widely used in data science and analytics, ensuring you stay aligned with industry needs.
Develop cutting-edge technologies and solutions with deep understanding of these tools.
Covers R, statistical analysis, machine learning, and deep learning for a broad data science foundation.
Focuses on current tools and practices to ensure up-to-date training.
Combines theory with projects for hands-on problem-solving skills.
Taught by knowledgeable educators with a focus on individual student attention.
Prepares students for roles like Data Analysts, Machine Learning Engineers, and AI Specialists.
Teaches state-of-the-art libraries and frameworks such as TensorFlow and Keras.
Develops problem-solving abilities and data-driven decision-making.
Encourages teamwork, idea sharing, and networking among students.
Helps students build a professional portfolio for job searches and promotions.
Provides a solid foundation for continuous learning in evolving data science technologies.
Min
$90,000
Average
$120,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Preparing the Data for acquisition
cleaning, transformation, exploration and analysis.
Building, training, and evaluating statistical and machine learning models for predictive and prescriptive analytics.
Applying deep learning, natural language processing, and computer vision techniques for complex problem-solving.
Creating compelling visualizations and communicating insights effectively to technical and non-technical audiences.
Stay updated with the latest advancements in AI and apply them to improve existing solutions.
Applying data-driven solutions to address business challenges and identify new opportunities.
Troubleshoot and resolve issues related to AI models and systems.
Working effectively with cross-functional teams to achieve project objectives.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A | COMPETITOR B |
---|---|---|---|
Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
Advanced Tools | GPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
Real-World Applications | Emphasis on real-world problem-solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |