Table of Content
- 1 What Is the Data Science With Generative AI Course About?
- 2 Who Should Enroll in This Program?
- 3 Complete Learning Path Overview (8 Months)
- 4 Tools & Technologies Covered
- 5 Real-World Projects You’ll Build
- 6 Certification & Evaluation Criteria
- 7 Mentors Leading the Program
- 8 Premium vs Pro Plan: What’s the Difference?
- 9 Batch Launch & Orientation Details
- 10 Career Outcomes You Can Expect
- 11 Why Data Science With Generative AI Matters in 2026
- 12 Key Takeaways at a Glance
- 13 Learn More About Data Science
- 14 Frequently Asked Questions (FAQs)
- 15 Final Thoughts
Mission Upskill 2026 | Orientation on 17th Jan
Artificial Intelligence is no longer optional. It is shaping every major industry. To help learners stay future-ready, PW Skills has officially launched the Data Science With Generative AI course under Mission Upskill, designed to take learners from fundamentals to advanced Generative AI and LLM applications.
This 8-month hybrid program blends core data science, machine learning, deep learning, NLP, and Generative AI, making it ideal for learners aiming for high-impact data roles.
What Is the Data Science With Generative AI Course About?
The Data Science With Generative AI course is a comprehensive, industry-aligned program that combines theory, hands-on projects, and real-world case studies.
It focuses on building strong foundations while preparing learners to work with modern Generative AI tools, LLMs, and frameworks used in real companies.
Key highlights of the course include:
- End-to-end Data Science learning path
- Deep focus on Generative AI & LLMs
- Real-world projects and PwC-backed case studies
- Certification by PW Skills with PwC
This program is structured for long-term career growth rather than short-term learning.
Who Should Enroll in This Program?
This course is designed for learners who want to build strong, job-ready data science skills.
Ideal learners include:
- Students aiming for careers in Data Science or AI
- Working professionals planning to transition into AI-driven roles
- Learners with basic programming knowledge looking to upskill
- Professionals wanting hands-on exposure to Generative AI tools
No advanced background is required, but commitment to learning is essential.
Complete Learning Path Overview (8 Months)
The curriculum follows a structured, week-wise progression from basics to advanced AI systems.
Foundations of Data Science
- What is Data Science and why it matters
- Roles, roadmap, and real-world applications
- Data Science & ML lifecycle concepts
Python Programming (Weeks 1–6)
- Python basics, data types, loops, functions
- OOPs, exception handling, file handling
- NumPy, Pandas, Matplotlib, Seaborn, Plotly
- Debugging, logging, and multiprocessing
APIs & Databases
- REST APIs with Flask
- SQL & MongoDB (CRUD, joins, indexing)
- Building ML APIs with authentication
Statistics & Probability
- Descriptive and inferential statistics
- Hypothesis testing, ANOVA, Bayes theorem
- Case studies: Salary analysis, A/B testing
Machine Learning
- Regression, classification, clustering
- Decision Trees, Random Forest, SVM, KNN
- Time series forecasting and anomaly detection
Deep Learning
- Neural networks and optimizers
- TensorFlow & PyTorch
- CNNs, object detection, image segmentation
NLP & Transformers
- Text preprocessing and embeddings
- RNN, LSTM, BiLSTM
- BERT, GPT models
- Text summarization and sentiment analysis
Generative AI & LLMs (Weeks 33–36)
- Autoencoders and GPTs
- LangChain, LlamaIndex, Vector Databases
- Hugging Face, Ollama
- Prompt Engineering, RAG, Fine-tuning
Tools & Technologies Covered
Learners work with industry-relevant tools used by real data teams:
- Python, NumPy, Pandas
- SQL, MongoDB
- TensorFlow, PyTorch
- NLP libraries and Hugging Face
- BERT, GPT models
- LangChain & LLM frameworks
This ensures hands-on exposure, not just theory.
Real-World Projects You’ll Build
The course includes 20+ industry-grade projects, including:
- Alexa-like AI Assistant
- AI-driven text summarizer
- Phishing classifier
- Sign language detection system
- Helmet detection using computer vision
These projects help learners build strong portfolios.
Certification & Evaluation Criteria
Learners receive PW Skills Certification with PwC upon successful completion.
Certification requirements:
- 60%+ quiz attempts
- 60%+ assignment completion
- 60%+ video completion
PwC case studies are included across learning stages.
Course Plans & Pricing (Official)
| Plan | Price |
| Basic | ₹6,999 |
| Premium | ₹19,999 |
| Pro | ₹29,999 |
Duration: 8 Months
Delivery Mode: Hybrid (Recorded + Live revision sessions)
Mentors Leading the Program
- Kartik Gupta – Quantitative Researcher, Graviton Research Capital
- Ajay Kumar Gupta – Staff Data Scientist, Synopsys
Both mentors bring strong industry and teaching experience.
Premium vs Pro Plan: What’s the Difference?
PW Skills offers two advanced plans for learners who want deeper support and career readiness.
Premium Plan – ₹19,999
The Premium plan is designed for learners who want structured learning with expert guidance.
Key benefits include:
- Full access to recorded course content
- Live revision sessions with mentors
- Doubt-solving support
- All projects and assignments
- Certification on completion
This plan is suitable for learners who prefer guided learning without intensive career services.
Pro Plan – ₹29,999
The Pro plan is the most comprehensive option, created for learners targeting career transitions or advanced roles.
Additional Pro-only benefits:
- Everything in Premium
- 1:1 mentorship sessions
- Resume-building support
- Interview preparation sessions
- Career guidance by industry experts
This plan focuses on employability and long-term career growth.
Batch Launch & Orientation Details
The Data Science With Generative AI new batch launches under Mission Upskill with a dedicated orientation session.
Important dates:
- Orientation Date: 17th January 2026
- Program Duration: 8 Months
- Mode: Hybrid learning format
The orientation explains the learning roadmap, mentor interaction, evaluation process, and project workflow.
Career Outcomes You Can Expect
This course prepares learners for modern AI-driven data roles.
Career paths after completion include:
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- NLP Engineer
- Generative AI Specialist
The program emphasizes hands-on skills and portfolio development, which are critical in hiring.
Why Data Science With Generative AI Matters in 2026
Generative AI is redefining how data scientists work. Companies are shifting from traditional analytics to LLM-powered systems.
This course helps learners:
- Understand modern AI workflows
- Work with large language models
- Build scalable AI applications
- Stay relevant in an evolving job market
The curriculum aligns with real-world AI adoption trends.
Key Takeaways at a Glance
- 8-month industry-focused program
- Strong foundation + Generative AI specialization
- Real-world projects and PwC-backed case studies
- Hybrid learning with mentorship support
- Designed for students and professionals
This makes the program a strong choice for serious AI learners.
Learn More About Data Science
Frequently Asked Questions (FAQs)
1. Is this course suitable for beginners?
Yes. The curriculum starts from fundamentals and gradually moves to advanced topics.
2. Does the course include Generative AI?
Yes. Generative AI, LLMs, and prompt engineering are core parts of the syllabus.
3. What certification will I receive?
You receive a PW Skills certificate with PwC-backed case studies.
4. Is there live mentorship available?
Yes. Live sessions and mentorship are included, especially in the Pro plan.
5. When does the batch start?
Orientation is scheduled for 17th January 2026.
Final Thoughts
The Data Science With Generative AI course by PW Skills is built for learners who want more than just theory. With structured learning, real-world projects, and career-focused mentorship, it offers a strong pathway into the future of AI-powered data roles.