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Bridge the gap between traditional analytics and modern AI with SoftCrayons Data Science with GEN AI Course .Experience industrial training in Data Science, Machine Learning, and Generative AI, building solutions that reflect real business challenges.
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All About
Data science has entered a new phase. It's no longer just about Python, statistics, and machine learning models it's about combining that classical foundation with the generative AI systems that are now reshaping how businesses analyze data, build products, and automate decision-making. SoftCrayons' Data Science Course with Generative AI is built for exactly this shift, giving learners a single, structured program that covers traditional data science end-to-end while also building real, hands-on skill with large language models, prompt engineering, and Gen AI application development.
This isn't a course that offers a few "AI" buzzwords packed into an old syllabus. It's a genuine AI Data Science Course, designed from the scratch around how data teams actually work in current market: where a data scientist is expected to clean and analyze data, build predictive models, and also know how to use or build generative AI tools like chatbots, RAG-based assistants, and LLM-powered automation inside their workflow.
SoftCrayons has built a reputation as one of the best institutes for data science with placement support precisely because the program doesn't stop at teaching concepts. It is structured as a Data Science Course with Placement assistance built into every stage, from project mentoring to interview preparation, so learners graduate with both the skills and the support needed to convert them into a job offer.
A few years ago, a data science syllabus could reasonably end at machine learning and deep learning. That's no longer enough. Organizations today expect data professionals to understand transformer-based models, know how LLMs work, and be comfortable building applications around them, whether that means a document-search assistant powered by Retrieval-Augmented Generation (RAG), an internal chatbot connected to a company's own data, or a workflow that uses an LLM to summarize, classify, or generate content at scale.
This shift means employers are no longer just hiring for "Data Scientist" or "ML Engineer" but for new hybrid roles like AI Engineer, GenAI Developer, and LLM Application Engineer have emerged, and they typically expect candidates to have both classical data science fundamentals and applied Gen AI skills.
SoftCrayons designed this program specifically to close the gap by combining the depth of a traditional data science curriculum with a genuine, project-based introduction to the generative AI stack, rather than treating Gen AI as an afterthought tacked onto the final week.
This program is built to work for a deliberately broad set of learners, since both data science and generative AI skills are now relevant well beyond traditional tech roles:
No prior experience with machine learning, deep learning, or AI tools is required. The program is paced so that someone starting from basic computer literacy can comfortably reach advanced Gen AI modules by the end of the course.
The course is organized as a progressive journey, where each block of learning feeds directly into the next, ending with a genuine generative AI specialization rather than a brief add-on.
| Stage | Focus Area | What You Learn |
|---|---|---|
| Stage 1 | Python and Data Foundations | Python syntax, data structures, functions, file handling, OOP basics, NumPy and Pandas for data cleaning and exploration |
| Stage 2 | EDA, Statistics, and SQL | Data visualization with Matplotlib and Seaborn, descriptive and inferential statistics, probability, hypothesis testing, SQL for querying structured data |
| Stage 3 | Machine Learning | Feature engineering, train-test evaluation, supervised learning (regression, decision trees, random forests, SVM), unsupervised learning (K-Means, hierarchical clustering, PCA) |
| Stage 4 | Deep Learning and NLP | Neural networks with TensorFlow and Keras, text preprocessing, sentiment analysis, conceptual introduction to transformer architectures |
| Stage 5 | Generative AI and LLMs | Large language models, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, LangChain, building a working Gen AI application |
| Stage 6 | Deployment and Capstone | Model and application deployment with Flask or FastAPI, capstone project combining machine learning and generative AI components |
Throughout the program, learners get structured, repeated hands-on practice with the tools used by modern data and AI teams:
This combination is blend of classical ML tools alongside a genuine Gen AI stack is what separates this program from other courses
Learners apply what they've learned across a series of project-based assignments and a final capstone, including:
These projects form a portfolio that demonstrates both data science fundamentals and applied Gen AI ability — exactly the kind of evidence hiring managers now look for.
On successful completion, learners receive a Data Science Certification Course completion certificate from SoftCrayons Tech Solutions, recognizing proficiency across Python, statistics, machine learning, deep learning, and generative AI application development. This certificate, combined with a project portfolio that includes a working Gen AI application, gives learners a credible, differentiated credential to add to their resume and LinkedIn profile.
SoftCrayons treats placement support as a core part of the program rather than an optional extra. As a structured Job Oriented Data Science Course, the curriculum and mentoring are built around actual hiring expectations from day one, and learners receive:
Several factors set this program apart from a typical online course or self-study path:
Generative AI is no longer just a trend—it's becoming a core part of how modern organizations analyze data, automate workflows, and build intelligent applications. From AI-powered analytics and code generation to chatbots and business assistants, companies increasingly expect data professionals to understand both traditional data science and modern AI technologies.
SoftCrayons' Data Science Course with Generative AI is designed to bridge that gap. Along with Python, statistics, machine learning, and deep learning, you'll learn prompt engineering, Large Language Models (LLMs), RAG, LangChain, and AI application development, giving you the practical skills needed for today's evolving data and AI roles.
Recognizing that learners come from different stages of life and work, SoftCrayons offers this program across multiple batch formats:
| Batch Format | Best Suited For |
|---|---|
| Weekday batches | Full-time students with daytime availability |
| Weekend batches | Working professionals who can only dedicate Saturdays and Sundays |
| Fast-track batches | Highly motivated learners who want a compressed timeline |
| Classroom and online-live options | Learners who prefer in-person mentoring or remote participation with live sessions |
Graduates of this program are prepared to pursue roles including:
Because the curriculum deliberately bridges classical data science with applied generative AI, learners are positioned for both traditional data roles and the newer hybrid AI roles that are growing fastest in today's job market.
The data and AI job market has moved quickly, and a course that only teaches machine learning fundamentals without touching the generative AI tools shaping current hiring expectations leaves learners at a disadvantage.SoftCrayons' Data Science Course with Generative AI was built specifically to avoid that gap — combining a strong classical foundation in Python, statistics, and machine learning with genuine, hands-on exposure to LLMs, prompt engineering, RAG, and Gen AI application development.
Backed by experienced mentors, real project work, and dedicated placement support, this program gives learners a complete, current, and practical path into one of the fastest-growing career tracks available today.
Enroll in SoftCrayons' Data Science Course with Generative AI and build the combined data science and AI skill set that today's employers are actively hiring for.
Get hands-on offline classroom training with high-tech lab facilities, expert trainers, and dedicated placement cells at our premium campuses.
Format & Mode
Regular Classroom / Weekend
Format & Mode
Regular Classroom / Weekend