Data Science with Generative AI Course

Description

Data Science with Generative AI is a comprehensive program that spans 8 months, offering learners a deep dive into data science, machine learning, deep learning, NLP, MLOps, and generative AI. The course is structured to provide both theoretical knowledge and practical experience through projects and assignments. Participants will learn foundational skills in Excel, SQL, and Python, and advance to complex topics like machine learning, deep learning, and generative AI techniques. The course is available in self-paced (Basic) and live weekend-session (Premium & Pro) modes, catering to different learning preferences.

The program covers a wide range of tools and technologies, including Python libraries like NumPy and Pandas, machine learning frameworks such as TensorFlow and Keras, and modern AI tools like LangChain and Hugging Face. Learners will also gain experience in MLOps, using tools like Docker and AWS for model deployment and monitoring. The course includes over 180 hours of technical learning and 40 hours of soft skills training, preparing participants for roles such as Data Scientist, ML Engineer, and AI Engineer.

The course offers three plans: Basic, Premium, and Pro, each with different levels of support and resources. The Basic plan is self-paced with recorded lectures, while the Premium and Pro plans include live sessions and additional career support. The Pro plan offers job assistance, including interview preparation and opportunities.

Participants will receive a certification upon completion, verifiable by employers, and the course material is accessible for two years. The program is suitable for beginners, professionals, and career switchers looking to enhance their skills in data science and AI.

Data Science with Generative AI Course's Core Features

• End-to-End Curriculum: Excel, SQL, Python, ML, MLOps, Deep Learning, NLP, Generative AI

• Production & Deployment Skills: FastAPI, Streamlit, Docker, AWS

• Full MLOps Module: MLflow, DVC, Docker, Airflow, AWS

• Modern Generative AI Stack: LLM APIs, LangChain, Vector Databases

• Industry-Recognized Certificate: PW Skills + NSDC

• Hands-On Projects & Capstones: Real-world projects and capstones

• Soft Skills Development: 40+ hours of life skills and interview preparation

• Flexible Learning Plans: Basic, Premium, Pro with varying support levels

How to use Data Science with Generative AI Course?

1. 1

   Enroll: Choose a plan and register

2. 2

   Learn: Access recorded or live sessions

3. 3

   Practice: Complete projects and assignments

4. 4

   Certify: Meet criteria for certification

Data Science with Generative AI Course's Use Cases

• Data Analysis
• Machine Learning
• Deep Learning
• NLP
• Generative AI

FAQ from Data Science with Generative AI Course

• What is Data Science with Generative AI?

  It is an 8-month course covering data science, machine learning, and AI, with hands-on projects.

• Who is this course for?

  The course is suitable for beginners, professionals, and career switchers interested in data science and AI.

• What are the prerequisites?

  Basic programming and mathematics knowledge is recommended, but not mandatory.

• What is the course duration?

  The course lasts 8 months with a recommended 8-10 hours of study per week.

• What learning formats are available?

  Basic plan offers recorded sessions, while Premium and Pro plans include live sessions.

• Does the course offer job assistance?

  Job assistance is available in the Pro plan, including interview preparation and opportunities.

• Is the certification verifiable?

  Yes, certifications are verifiable through a unique link.

• What is the refund policy?

  Refunds are available for Premium and Pro plans within 30 days, minus a non-refundable fee.