IT and Non-IT professionals eager to transition into the cutting-edge fields of Data Science and AI.
Graduates aiming to accelerate their career trajectory in Analytics and Data Science.
Senior business leaders managing groups of Analysts seeking to enhance their strategic insights with AI.
School students with a profound passion for data.

We have a growing team of experienced mentors and seasoned professionals passionate about sharing their knowledge. All our instructors are U.S.-based AI professionals working for Fortune 5 companies.

Yes, we do—once you complete all the discussed projects and the final capstone project. You will get a Digital Certificate from IBM and one from us. Please note that the industry values the knowledge you possess more than the certificate you hold. However, we assist you with both, placing greater emphasis on enhancing your expertise in data science.

Absolutely. Please contact us to register for the upcoming demo session.

It will be a 12-week bootcamp consisting of 6 weeks of live, online, hands-on sessions twice a week (2 hours per session), followed by a 3-week online certificate course, and concluding with 3 weeks of real-life freelance AI Start Up project work.

We have priced our programs very economically compared to other bootcamps and university courses, which often charge thousands of dollars for static curriculums. We offer a comprehensive, industry-oriented curriculum featuring the latest cutting-edge technology tools at a reasonable price. At this time, we are unable to offer scholarships.

Absolutely! You don’t need an IT background to start learning with us. Data science is fundamentally an analytical field, and we begin our courses from the basics to ensure everyone can follow along. We have successfully mentored hundreds of students from non-IT backgrounds, helping them achieve success in data science and AI. Our program is designed to build your skills step-by-step, preparing you for a thriving career in this exciting field.

Data analysts focus on interpreting data to help make business decisions, while data scientists use advanced algorithms and models to create new strategies and insights. Our graduates have successfully pursued careers as data analysts, data scientists, and business intelligence engineers to name few, depending on their interests and the opportunities they explore during interviews.

The main prerequisites are a passion for absorbing data analysis and a curiosity to explore data to craft stories. We make learning accessible by utilizing cutting-edge AI tools, allowing you to focus more on analysis and less on programming. Rest assured, we take care of the technical complexities so you can concentrate on building your analytical skills.

Our courses welcome students from all walks of life—from middle and high school students to college attendees and even senior business leaders looking to transition into AI careers. Our instructors understand the diverse backgrounds of our students and cater to their needs by challenging them appropriately and mentoring them closely. We align their strengths with real-life exercises to ensure everyone can excel.

Yes, we work closely with you to build portfolios that catch employers' attention, provide resume assistance, share interview questions previously posed to our alumni, and conduct mock interviews with constructive feedback. While we don't make unrealistic promises about job placement, our success rate has been about 70%, based on our observations of our students since 2016. We also ensure that all our students receive an IBM certificate in Python for Data Science and AI, enhancing their resumes and marketability.

Yes, we have had hundreds of students in the past who told us that our bootcamp provides a hands-on experience with real-life client projects, not Kaggle datasets. We use actual case studies from clients for whom we've provided data science and AI solutions. This practical approach, which involves working with tools like Tableau, Excel, Python, SQL, and LLMs in class, differs from the more theoretical, PowerPoint slide-based learning common in university settings. It builds comfort and confidence, preparing you for job interviews and real-world assignments.

Based on our years of experience mentoring leaders, the curriculum equips you to effectively oversee and mentor AI teams. This is essential in today’s environment where many organizations are incorporating AI solutions. It's designed to help leaders develop a robust vision for building AI and Machine Learning models, whether directly involved in the hands-on process or overseeing it strategically.

We cover essential tools like Tableau, SQL, Python (extensive coverage with the latest AI packages), and R, focusing primarily on their application more than theoretical aspects. The curriculum blends theory and practice, ensuring all students become proficient in using these tools and programming effectively. Our emphasis is on delivering content that is directly applicable 90% of the time in the workplace, which is crucial for learning new skills and implementing them effectively.

We explore projects that we've implemented for real-life clients, which serve as practical applications of the skills taught. These include predicting patient readmission statuses for a local cancer hospital, analyzing customer behavior for a retail store, evaluating sentiment scores through text analytics for a pizza store, etc. Additionally, our strong connections with local non-profit organizations allow you to engage in AI for social good. This approach underlines our belief in applying knowledge in meaningful ways that make a real impact.

Our program leverages cutting-edge Generative AI (GenAI) packages to enhance your data analysis skillset. We focus on practical applications of GenAI for text generation (report writing, summaries, marketing copy), visuals generation (images, charts, visualizations), and code help (suggestions, debugging, code block generation). This integration empowers you to communicate insights more effectively, streamline coding processes, and explore creative new possibilities within the data science field.