Entri Data Science with Gen AI Course FAQs

Ans: Entri Elevate's Data Science with Gen AI Certification Program is meticulously crafted to empower you as a data scientist, offering comprehensive knowledge across Python, statistics, machine learning, deep learning, and generative AI. It includes interactive mentored sessions and hands-on exploration of key tools like NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, Hugging Face, and more for solving complex data problems.

Ans: The curriculum includes Pre-Learning Module, Python Basics (syntax, data structures, OOP), Python for Data Science (NumPy, Pandas, visualization with Matplotlib/Seaborn, web scraping with Beautiful Soup/Selenium, Git), Mathematics and Statistics (linear algebra, probability, descriptive/inferential stats, hypothesis testing), Machine Learning (data preprocessing, supervised/unsupervised learning, regression, classification, clustering, time series, deployment with Flask/Docker), Deep Learning (neural networks, CNN, RNN, LSTM, auto-encoders, transfer learning, NLP), AI and Gen AI (foundations, generative models like VAEs/GANs/Diffusion, prompt engineering, ChatGPT, Hugging Face), Project Development, and Placement Training & Soft Skills.

Ans: The course duration is 6 months plus 1 month for the Capstone Project.

Ans: You’ll receive an Entri Course Certification, NSDC Certification (National), and Illinois Certification (International).

Ans: Highlights include tailored curriculum aligned with industry standards, inclusive and immersive hybrid training sessions, mentor-led live core sessions, self-paced learning contents in native language , free soft skills training, industry expert sessions, 80% hands-on experience, placement assistance for eligible learners, community linking.

Ans: Yes, the course emphasizes hands-on learning with 80% practical focus, including topic-based assignments, comprehensive assessments, module-end assignments, mini projects, coding tasks, competitive tasks, and a full-fledged Capstone Project solving real-world challenges.

Ans: The course covers foundations of AI, generative AI principles (VAEs, GANs, Diffusion Models), prompt engineering (zero-shot, few-shot, chain-of-thought), ChatGPT (transformer architecture, applications), Hugging Face (pre-trained models, pipelines for summarization/text/image generation), future advancements, ethical challenges, and integration with data science workflows.

Ans: Entri Elevate provides comprehensive placement assistance, access to diverse job opportunities, industry mentorship from companies like Tesla, Google, Samsung, and Zeta, resume reviews, and connections with top hiring companies.

Ans: Each batch is limited to ensure personal attention and effective learning, though specific numbers may vary; contact Entri for details.

Ans: The course is online, featuring recorded video lectures and interactive mentored learning.

Ans: No, a technical background is not required. The course starts with basics like Python fundamentals and gradually moves to advanced topics like generative AI and deployment.

Ans: Yes, a demo class is available to help you understand the teaching methodology and course content.

Ans: Yes, internship opportunities are available post-course based on a selection process through Entri Elevate’s career services.

Ans: The course covers Python programming, data manipulation and visualization, mathematics and statistics, machine learning algorithms, deep learning architectures, natural language processing, generative AI models, time series analysis, deployment, and ethical AI considerations.

Ans: Real-world learning includes hands-on projects like data exploration, visualization assignments, model building for regression/classification/clustering, sentiment analysis with LSTM, recommendation systems, time series prediction, and a Capstone Project applying data science concepts over 1 month.

Ans: Topics include linear algebra (vectors, matrices, eigenvalues), probability (distributions, Bayes' theorem), descriptive statistics (central tendency, dispersion, skewness, kurtosis), inferential statistics (bootstrapping, central limit theorem, hypothesis testing, z-test, t-test, ANOVA), handling outliers, correlation, and A/B testing.

Ans: Tools include Hugging Face for pre-trained models and pipelines, ChatGPT for understanding LLMs, generative models like GANs/VAEs/Diffusion, and frameworks like TensorFlow/Keras/PyTorch for building AI-integrated models.

Ans: Machine Learning covers introduction to AI/ML/DL, data preprocessing (handling missing values, outliers, scaling), supervised learning (linear/polynomial regression, logistic regression, decision trees, KNN, random forest, SVM), unsupervised learning (kMeans, hierarchical clustering, PCA), time series (ARIMA), recommendation systems, model evaluation, hyperparameter tuning, and deployment with Flask/Docker.

Ans: Yes, placement support and internship opportunities are available through Entri Elevate’s career services, including connections to companies where students have been placed like Deloitte, EY, Accenture, Infosys, and more.

Ans: Yes, all sessions are recorded and can be accessed for self-paced learning and revision.

Ans: Yes, Entri offers doubt-clearing through mentor-led sessions, interactive Q&A, and support groups for instant help.

Ans: Anyone with a passion for data science can join. No specific degree or technical background is required. Students, freshers, job seekers, and professionals can enroll.

Ans: After completing the course, you can apply for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Engineer, Deep Learning Specialist, NLP Engineer, and Business Intelligence Analyst.

Ans: Yes, the course is designed to start from the basics of Python and statistics and build up to advanced levels, making it ideal for beginners.

Ans: Yes, Entri Elevate includes sessions on resume building, personalized resume reviews, and preparation for interviews to make you job-ready.

Ans: Entri offers vernacular support in Vernacular, interactive mentored sessions, Gen AI integration with real projects, 80% hands-on experience, industry mentorship, and access via mobile app.

Ans: Yes, working professionals can take Entri’s Data Science with Gen AI course. The flexible schedule with 8-12 hours/week, recorded sessions, and self-paced content make it convenient to learn at your own pace.

Ans: Yes, Entri provides recordings of all sessions. You can revisit them anytime, allowing for self-paced learning and easy revision.

Ans: Yes, Entri offers EMI and flexible installment payment options to make the course affordable for all learners.

Ans: In Entri’s Capstone project, you’ll apply all your learning to a real-world scenario—such as building end-to-end data pipelines, machine learning models, or generative AI applications spanning 1 month