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About Our Generative AI for Data Scientists Training in the USA

Our Generative AI for Data Scientists training in the USA is tailored to empower professionals with advanced skills in leveraging generative AI for solving complex data science challenges. The course covers cutting-edge technologies such as Large Language Models (LLM) and Generative Adversarial Networks (GANs), along with practical applications like querying databases and AI-driven exploratory data analysis (EDA). Participants will learn to integrate generative AI tools, like GPT-3.5, ChatCSV, and Tomat.ai, into their workflows for automated feature engineering and data generation. This program ensures a transformative learning experience for aspiring data scientists.

Who can join this course

Data scientists
Data analysts
Data architects and engineers

Prerequisites:

Anyone interested in commencing their career in prompt engineering

Course duration:

1 month based on the mode of learning
Level- Intermediate

Mode of training- Flexible

Online students- flexibility of self-paced learning, video content, and text content
Offline students- Instructor-led training, video-based content, and text-based content
Weekdays, Weekends, and Customized Days as per the request

Career opportunity

1. Research Scientist

2. Expert AI/ML Applied Scientist - Generative AI

3. Proactive Intelligence, Applied Research Scientist - Generative AI

4. Applied AI Research Scientist Lead, Generative AI

5. Generative AI Scientist, Associate

6. Fundamental Multimodal Research Scientist - Generative AI

7. Data Scientist, Research, Responsible AI, Trust and Safety

These are the few job roles currently being hired by top companies across the USA in top cities like New York, Washington, San Francisco, and many other cities- Indeed

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Key Highlights

Live or virtual instructor-led classes
Browse course details, syllabus and demo videos
Quality course material provided
Become a certified expert on the subject
Instant access to reference material
Get high-pay jobs offers post-training

Upcoming Instructor-Led Generative AI For Data Scientists Class Date & Time as on June 07, 2025

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Jun 9 2025

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Jun 10 2025

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Jun 11 2025

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Jun 12 2025

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Jun 13 2025

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Generative AI For Data Scientists - IT Tutor PRO

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IT Tutor PRO in Burlington,MA provides Online Generative AI For Data Scientists training with real time examples, course materialsand facilities such as Placement

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About Generative AI For Data Scientists training

Overview of Our Generative AI for Data Scientists Course, USA
Our course provides an in-depth understanding of generative AI, its use cases, and how it transforms data science. Learn to utilize tools for prompt engineering, master techniques for AI-driven EDA, and accelerate data visualization with AI-generated insights. The curriculum also focuses on integrating generative AI into data pipelines, enabling participants to streamline processes and enhance decision-making. By combining theoretical insights with practical applications, the course prepares learners to harness the full potential of generative AI in data science.
Objective of Our Generative AI for Data Scientists Training and Course
The training aims to seamlessly equip participants to integrate generative AI into their data science workflows. It emphasizes mastering AI and prompts engineering concepts and approaches to optimize data insights. Participants will explore prompt engineering techniques, tools, and applications to enhance data generation, visualization, and feature engineering. By the end of the course, learners will be proficient in using generative AI tools and techniques to solve real-world data science problems efficiently.
What You Will Learn in our Generative AI for Data Scientists Course
1. Master prompt engineering techniques for better data insights.
2. Utilize generative AI tools like GPT-3.5, ChatCSV, and Tomat.ai.
3. Perform AI-driven exploratory data analysis (EDA) for informed decision-making.
4. Implement automated feature engineering and streamline data workflows.
5. Accelerate data visualization using AI-generated insights.
6. Integrate generative AI into data pipelines for efficient analysis and processing.

Generative AI For Data Scientists syllabus

Module 1: Introduction to Generative AI in Data Science
Overview of Generative AI and its applications in data science
Introduction to Large Language Models (LLMs) and Generative Adversarial Networks (GANs)
Use cases of generative AI in data generation, feature engineering, and visualization
Key generative AI tools: GPT-3.5, ChatCSV, and Tomat.ai
Module 2: Prompt Engineering for Data Insights
Fundamentals of prompt engineering in AI applications
Techniques for effective prompt engineering (e.g., structured prompting, iterative refinement)
Tools for prompt engineering: OpenAI API, Hugging Face Transformers
Practical exercises: Crafting prompts for data querying and insights
Module 3: Data Generation and Augmentation with Generative AI
Understanding data generation and augmentation techniques
Creating synthetic datasets using GANs and LLMs
Applications of generative AI in enhancing data diversity and quality
Case studies: Using generative AI for real-world data science challenges
Module 4: AI-Driven Exploratory Data Analysis (EDA)
Automating EDA using generative AI
Identifying trends, anomalies, and patterns with AI tools
Techniques for integrating AI-generated insights into decision-making
Hands-on projects: AI-assisted data exploration
Module 5: Automated Feature Engineering
Introduction to feature engineering and its importance in machine learning
Leveraging generative AI for automated feature selection and transformation
Tools and platforms for feature engineering (e.g., PyCaret, FeatureTools)
Practical implementation: Creating features with generative AI
Module 6: Data Visualization with Generative AI
Enhancing data storytelling with AI-generated visualizations
Techniques for generating charts and dashboards using AI
Tools for AI-powered visualization (e.g., Tableau with AI integration, Power BI)
Hands-on exercise: Building dynamic visualizations with generative AI insights
Module 7: Integrating Generative AI into Data Pipelines
Best practices for embedding generative AI in end-to-end data workflows
Automating repetitive tasks with AI tools
Building scalable AI-powered data pipelines
Case studies: Real-world applications of generative AI in data processing
Module 8: Capstone Project
End-to-end project
Feedback and evaluation by experts

FAQ's on Generative AI For Data Scientists training & certification

What is the average salary of a Gen AI Data Scientist in the USA?
The average salary of a Generative AI Data Scientist in the USA ranges between $120,000 and $160,000 per year, depending on factors like experience, location, and expertise in tools and technologies such as GPT-3.5 and GANs.
What are the common Generative AI Data Scientist job prospects in the USA?
Generative AI Data Scientists in the USA have opportunities in technology, healthcare, finance, e-commerce, and entertainment industries. Common roles include AI Research Scientist, Machine Learning Engineer, Data Scientist with LLM expertise, and Generative AI Specialist focusing on data visualization and feature engineering.
Is generative AI useful in data science?
Yes, generative AI revolutionizes data science by enabling data generation, automated exploratory data analysis (EDA), feature engineering, and enhanced data visualizations. It accelerates workflows, uncovers complex patterns, and generates actionable insights, making data analysis more efficient and insightful.
How do I become an AI Data Scientist?
To become an AI Data Scientist, you need to:
1. Gain foundational knowledge in data science, machine learning, and programming (e.g., Python).
2. Learn advanced AI concepts like Generative AI and prompt engineering.
3. Develop hands-on experience with tools like GPT-3.5 and TensorFlow.
4. Join a certification course, such as those offered by Sulekha, which partners with top industry-recognized course providers to provide high-quality training and resources.
Is data science still in demand in 2024?
Data science remains in high demand in 2024 due to the growing need for data-driven decision-making across industries. The integration of generative AI has further expanded the field’s potential, making roles like Data Scientist and AI Specialist more relevant than ever.
How is generative AI used in data science?
Generative AI is used in data science for:
• Data augmentation and generation to create synthetic datasets.
• Automated exploratory data analysis (EDA) for faster insights.
• Feature engineering to improve model performance.
• Data visualization with AI-generated insights for enhanced storytelling.
• Querying databases and automating repetitive tasks in data pipelines.
Can you list out a few Generative AI tools for data science?
Here are a few generative AI tools for data science:
1. GPT-3.5 for generating text-based insights and data augmentation.
2. ChatCSV for querying and analyzing structured data.
3. Tomat.ai for AI-driven decision-making support.
4. TensorFlow for building custom generative models.
5. PyTorch is used to implement GANs and large language models.

Generative AI For Data Scientists certification

After completing Generative AI For Data Scientists training with certification with Sulekha's partnered course providers, you'll be ready to explore job opportunities with top IT companies in the USA or your local area. We focus on equipping you with the skills needed by leading organizations and helping you connect with career opportunities in industry giants like Meta, Goldman Sachs, Google, Amazon and more.

Courses related to GenAI and AI we offer

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3. Generative AI for Java Developers with Google AI

4. Generative AI for Business Intelligence (BI and AI)

5. Generative AI for Business Analysis

Generative AI For Data Scientists training and placement

Sulekha partnered with many recognized course providers. Our Generative AI For Data Scientists training and placement providers offer online and offline classes and train them to get placed in reputed and top companies. We offer a blended and balanced learning experience, which helps participants gain knowledge and skills.

Generative AI For Data Scientists training offline

Face-to-face interactions can significantly enhance your education and career. That's why we offer instructor-led training sessions, providing opportunities for personal connections that can make a real difference in your learning experience.

Generative AI For Data Scientists training online

Our online students benefit from the flexibility of self-paced learning. At the end of most lessons, you'll find an online discussion with instructors and peers to accelerate your learning experience.

Notice how our courses include both text and video content? This approach is designed to keep your brain engaged and active, regardless of whether you’re an online or offline learner. While online students benefit from the flexibility of self-paced learning, offline students enjoy the added advantage of instructor-led training. However, both formats provide a rich mix of text and video content to ensure an effective learning experience.