
Data Science Course with Generative AI
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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Data Science Course with Generative AI Overview
Data Science Course with Generative AI
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 reshaping how businesses analyze data, build products, and automate decisions. 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 packs a few "AI" buzzwords into an old syllabus. It's a genuine AI Data Science Course, designed from scratch around how data teams actually work today, 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 better-known names for data science training with placement support precisely because the program doesn't stop at teaching concepts. It's structured as a genuine 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.
Why Generative AI Changes What a Data Science Course Needs to Cover
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 and generate content at scale.
This shift means employers are no longer hiring only for "Data Scientist" or "ML Engineer." 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, everything from prompt engineering to building AI-powered analytics tools. That's really the whole premise behind pairing genuine GenAI skills with classical data science instead of bolting AI on as an afterthought.
SoftCrayons designed this program specifically to close that 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. Very few programs branded as an AI Data Science Course actually commit to that depth on both sides.
Who Should Enroll
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:
- Students and fresh graduates looking to start a career in Data Science and AI
- Software developers who want to expand into Machine Learning and Generative AI
- Data Analysts and BI professionals seeking advanced analytics skills
- IT professionals preparing for AI and GenAI-focused roles
- Business and finance professionals interested in data-driven decision-making
- Career switchers and returning professionals looking for structured, industry-focused training
No prior experience with machine learning, deep learning, or AI tools is required. The program is paced so someone starting from basic computer literacy can comfortably reach the advanced Gen AI modules by the end of the course.
Tools and Technologies Covered
Throughout the program, learners get structured, repeated hands-on practice with the tools used by modern data and AI teams, the same stack this Data Science Course with Generative AI is actually built around, not a one-time demo that's forgotten by the next module:
| Learning Area | Tools Covered | What It's Used For |
|---|---|---|
| Programming | Python 3, Jupyter Notebook, Google Colab | Core Data Science Workflows |
| Data Handling | NumPy, Pandas, SQL | Cleaning and Querying Data |
| Visualization | Matplotlib, Seaborn, Plotly | Reporting and Storytelling |
| Machine Learning | Scikit-learn | Predictive Modeling |
| Deep Learning & NLP | TensorFlow, Keras, NLTK | Neural Networks and Text Analysis |
| Generative AI | LLM APIs, Prompt Engineering, LangChain | Building Gen AI Applications |
| Vector Databases | FAISS or equivalent vector stores | Powering RAG-Based Assistants |
| Deployment | Flask, FastAPI, Git and GitHub | Shipping ML and AI Applications |
This blend of classical ML tools alongside a genuine Gen AI stack is what separates this AI Data Science Course from most other courses running under a similar name.
Real Projects Based Learning
Learners apply what they've learned across a series of project-based assignments and a final capstone, including:
- A customer churn prediction model using classical machine learning
- A sales forecasting project applying regression and time-based analysis
- A sentiment analysis pipeline built using NLP techniques
- A document-based AI assistant built using RAG and a vector database
- A capstone project combining a trained ML model with a Gen AI-powered interface, simulating how modern AI products are actually built
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 from anyone claiming that they have done Data Science Course with Generative AI on their resume.
The Credential You Walk Away With
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. Combined with a project portfolio that includes a working Gen AI application, this Data Science Certification Course credential gives learners something differentiated to add to their resume and LinkedIn profile, not just another line that recruiters skim past.
Career and Placement Backing
SoftCrayons treats placement support as a core part of the program rather than an optional extra. As a genuine Data Science Course with Placement Assistance baked in from day one, the curriculum and mentoring are built around actual hiring expectations, and learners receive:
- Resume and LinkedIn profile optimization for Data Science and AI roles
- Mock interviews based on current industry hiring trends
- Portfolio development through hands-on projects and capstone work
- Personalized career guidance and job preparation support
- Placement assistance and referrals through hiring partners
It's this combination, technical depth plus a real Data Science Course with Placement Assistance structure, that tends to matter most once interviews actually start.
What Sets This Program Apart at SoftCrayons
Few programs blend a genuine AI Data Science Course syllabus with actual GenAI tooling this thoroughly, most either stay purely classical or bolt on a couple of Gen AI lectures at the end. A few other things worth knowing before you enroll:
- Industry-experienced trainers with hands-on project expertise
- Small batches for personalized mentoring and feedback
- Live instructor-led classes with recorded sessions for revision
- Updated curriculum covering Data Science, Machine Learning, and Generative AI
- Lifetime access to learning resources and community support
Learning Formats and Batch Options
Recognizing that learners come from different stages of life and work, SoftCrayons offers this program across a few different formats rather than one fixed schedule:
- Weekday batches for full-time students with daytime availability
- Weekend batches for working professionals who can only dedicate Saturdays and Sundays
- Fast-track batches for highly motivated learners who want a compressed timeline
- Classroom and online-live options for learners who prefer in-person mentoring or remote participation
Where Graduates Land
Because the curriculum deliberately bridges classical data science with applied generative AI, graduates of this program are positioned for both traditional data roles and the newer hybrid AI roles growing fastest in today's job market:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- AI Engineer / GenAI Developer
- NLP Engineer
- Business Intelligence Analyst
What These Roles Pay in India
| Job Role | Experience | Average Salary (INR) |
|---|---|---|
| Data Analyst | 0–2 Years | ₹4–7 LPA |
| Data Scientist | 2–5 Years | ₹9–16 LPA |
| AI Engineer / Generative AI Developer | 2–5 Years | ₹12–22 LPA |
| Machine Learning Engineer | 2–5 Years | ₹10–18 LPA |
| Senior AI / ML Engineer | 5+ Years | ₹20–35+ LPA |
These figures are indicative and vary based on company, location, and individual project experience, actual offers may differ.
Where You Can Join This Program
SoftCrayons runs this program from multiple centres across Delhi NCR, including Noida and Ghaziabad, alongside live online batches for learners who'd rather join remotely. Learners often start out searching for an AI Data Science Course in Noida, only to realize the actual GenAI content varies a lot between institutes once they compare syllabi. If you're specifically comparing a Data Science Institute in Noida against other options, or looking for a Generative AI Course in Noida that actually goes past the basics, the classroom sessions at the Noida centres cover exactly the same GenAI-heavy curriculum as the online batches.
For learners comparing a Data Science Institute in Noida against purely online-only programs, the honest difference usually comes down to mentor access, whether someone is actually reviewing your RAG project or capstone build, not just marking attendance. That holds true whether you join a Generative AI Course in Noida in person or take this Data Science Course with Generative AI in Noida through the live online track, and it's also why SoftCrayons keeps small batch sizes across every centre.
Final Thoughts
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 a real Data Science Certification Course credential at the end.
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 Now in SoftCrayons' Data Science Course with Generative AI, or Book Free Demo Class to see the curriculum and mentors before you commit.