Advanced in Gen AI Program
Job Assistance
For Pro Plan
05-months
Duration
Online / Offline
Delivery Mode
English
Language
Beginner to Intermediate
Level
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Python • Machine Learning • Tableau
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career & Placement Support
- Resume & LinkedIn profile building
- Job placement assistance
- Mock interviews & interview prep
- Career guidance from experts
- Opportunities to showcase your skills
Live Instructor-Led Training
- Live interactive sessions
- Weekday & Weekend batches
- Recorded sessions for revision
- 24×7 mentor support
- Doubt-solving & guided learning
Hands-On Learning
- Practical hands-on projects
- Real-world case studies
- Data-driven problem solving
- Industry-relevant assignments
- Learn by doing approach
Certification & Recognition
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Peer Learning & Networking
- Peer-to-peer learning environment
- Collaborate on projects
- Community discussions & support
- Networking with like-minded learners
- Knowledge sharing sessions
Capstone Project & Mentorship
- Final capstone project
- Apply all learned concepts
- Guided by industry mentors
- Real business problem solving
- Career-focused project experience
Master these Tools
Course Curriculum
1.Programming 101
- Introduction to Python and Programming
- Python Data Types, Variables, Operators, Data Structures
- Python Programming Constructs: Conditionals, Loops, Functions
- UDFs, Best Coding Practices and Exception Handling
- Python for Data Science and Pandas: Working with relational databases, Data Cleaning, Preprocessing, Analysis
- Advanced Text Processing using Pandas
- Basics of Linux: Commands, Setting up Local Environment
2.Create ShopAssist Al
- An Automated Conversational Bot that helps customers discover products on an ecommerce website
- Define the different components of the bot and design the workflow for creating the bot
- Understand the working of LLMs like GPT-3 that power ChatGPT: Attention Mechanisms, Transformers, Reinforcement Learning, RLHF among others
- Apply prompting techniques to create prompts for asking questions and evaluating the customer’s response
- Establish metric(s) to measure model performance
- Prompt Engineering: Improve the assistant’s responses by applying simple (non-reasoning) prompting techniques
- Prompt Engineering: Improve the assistant’s accuracy by applying Chain-of-Thought reasoning-based prompting techniques
- Transfer Learning: Apply the same principles to other problems in your domain
- Deploy and launch ShopAssistAI application on Flask
- Iterate and improve the UI of the app using ChatGPT’s code writing capabilities
3.Create Mr.HelpMate Al
- A customer-facing chatbot that answers questions by scanning an organisation’s custom data
- Understand various search techniques and the generative search paradigm
- Understand the working of embeddings and how they help in semantic search
- Create and analyse embeddings for semantic search
- Understand the entire semantic search pipeline including chunking, embedding, and retrieval
- Create embeddings for large documents by creating chunks
- Create a Q/A system that fetches answers using similarity search over embeddings
- Scale the Q/A system by making use of vector stores like ChromaDB
- Embed, index large documents and search in vector stores
- Integrate LLM chat models like GPT with semantic search to build a retrieval-augmented generation (RAG) system that directly responds to user queries
- Experiment with different vector stores, search and index algorithms, and LLMs to improve the chatbot
4.SemanticSpotter
- Mr. HelpMate AI on Steroids: Use LangChain/LlamaIndex to create a chat-based knowledge retrieval system that answers questions on fine-tuned data
- Define the components of the knowledge retrieval system and design the workflow
- Explore how LangChain/LlamaIndex can connect the different components of the system
- Understand the different parts of LangChain – Models, Prompts, Indexes, Chains, Memory, and Agents
- Explore the different tools in LangChain and initialise an agent that uses the tools to read different types of files or data present in the company database
- Build the backend for the system using vector store options present in LangChain
- Divide the documents into chunks and apply the LLM to create embeddings and extract entities for the document chunks and store them in the vector store
- Construct the Search Index and Entity Store and create functionality to update them with every user question
- Use the Chain functionality of LangChain to connect all the components
- Build data indexes in LlamaIndex for efficient consumption of LLMs
- Create query engines, chat engines, and data agents
- Integrate LangChain and LlamaIndex together
- Evaluate the results and improve them by experimenting with different LLMs, indexing, and embedding algorithms
- Apply fine-tuning using OpenAI APIs to train an LLM on custom data
- Learn best practices for fine-tuning OpenAI APIs
- Apply Low-Rank Adaptation (LoRA) while fine-tuning to accelerate training of large models while consuming less memory
- Explore other agents and tools to improve the system, such as adding automatic email notifications for issues
5.Scale & Deploy Generative AI Systems
- Explore the Generative AI services offered by various cloud services
- Modify the workflow design of a knowledge retrieval system for scalability
- Identify the cloud services required for creating the scalable system
- Expose the system through a chat-based front end to the user
- Future Developments in Generative AI
- Mitigating risks in AI: Responsible AI
- RLHF as a Product to train your own LLM
- Multimodal Learning: Audio, Image, Text, Heatmap among others within an LLM
6.Create PixxelCraft AI
- Enable generation of accurate, high-quality images for a large product portfolio
- Understand how images are stored and manipulated digitally and work on image processing tasks
- Understand the process by which artificial neural networks and their variants such as convolutional neural networks handle image analysis
- Understand and implement legacy image generation models such as variational auto-encoders and generative adversarial networks
- Understand the components of diffusion models and the process by which images are generated and work on building a stable diffusion pipeline component-by-component
- Set up a simple stable diffusion pipeline and create suitable prompts for image generation and use the model to generate relevant images
- Use an image generation model and a language generation model to build an application that solves a real-world use-case problem
7.Create ShrewdNews AI
- Automate News Recommendation using LLM-powered Machine Learning
- Understand prompting for code generation and generate code for data science tasks in a larger ML problem
- Automate ML workflows using language generation models including data preprocessing and machine learning modeling
- Use vector embeddings to solve a real-world use-case problem based on semantic similarity
- Fine-tune language generation models for a particular problem statement and evaluate the model
Perfect For Data Science Career Starters
College
Students
Build projects for campus
placements.
Career
Switchers
No coding experience
needed – start from basics.
Working Professionals
Weekend batches so you can
up-skill while working.
Fresh
Graduates
Job‐ready in 8 months with a
strong portfolio.
Why Start2Skill Data Science > Others
Start2Skill
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Hands-on real projects with practical, job-ready skills
TOPIC 03
Dedicated placement help with structured interview preparation
TOPIC 04
Flexible batches (weekends + online) with job guarantee
VS
Mentorship
Real Projects
Career Support
Flexibility & Assurance
Others
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Recorded videos with limited or no real-world projects
TOPIC 03
Generic resume templates, no placement support
TOPIC 04
Fixed schedules with no job guarantee
Meet Your Experts Instructors
Ashutosh Sharma
Start2Skill
Senior Data Science Instructor, 10+
Years of Industry Experience
Rishu Raj Verma
Microsoft
Senior Data Scientist
Bhawana aggarwal
Accenture
Application Development Team
Lead
Get certified by Start2Skill
Earn industry-backed
Recognition and Career Opportunities
Industry-Endorsed Certificate
Get certified upon course completion with a recognized
credential, validating your skills in Data Science andBusiness Intelligence.
Strong Peer Network
Become part of a thriving community of learners and
professionals from top companies.
Recognized Across Industries
Our certification is trusted by hiring managers across
domains—ideal for career switchers and freshers alike.
What Student Say
"The program gave me the confidence and skills to switch my career into Data Analytics. The mentorship and mock interviews really helped me crack my first job with a 6 LPA package."
Rohit SharmaData Analyst 
"I had no prior coding background, but the course made concepts simple and easy to understand. The placement support was excellent, and I landed multiple interview opportunities."
Priya NairBusiness Analyst Intern at Deloitte 
"The hands-on projects in Excel, SQL, and Power BI prepared me for real-world challenges. By the end of the course, I had a strong portfolio to showcase to employers."
Arjun MehtaGraduate Student 
"The placement assurance policy gave me peace of mind. Within three interviews, I got selected as a Data Analyst. I couldn’t have asked for a better start to my career."
Simran KaurFresher Placed at Infosys 
"Coming from a non-technical background, I was nervous about analytics. But the step-by-step curriculum and industry mentors made the transition smooth and rewarding."
Karan VermaCareer Switcher 
"The combination of live sessions, self-paced learning, and mentor feedback made the program flexible yet impactful. The visualization skills I gained are highly valued in my job."
Sneha IyerData Visualization Analyst 
"What stood out for me was the career preparation. The mock interviews, resume workshops, and one-on-one mentor sessions gave me an edge in placements."
Ankit GuptaBusiness Analyst Trainee 
"I joined while pursuing my graduation. The flexible schedule allowed me to learn without affecting my studies. Now I feel fully job-ready before even completing my degree."
Ritika SinghFinal Year Student 
"The best part of the program is the ongoing access to course material. Even after completing, I still revisit modules to strengthen my knowledge."
Neha KapoorPlaced at Accenture 
How You'll Learn" 4-Step Journey
Talk to a Program
Advisor
Book a free 1:1 counselling call
Enroll in the Right
Course
Get a plan matched to your goals & level.
Learn with Live + Hands-on Projects
Attend live classes and build r
Get Career Guidance & Placement Support
Resume, interviews & job referrals.
Frequently Asked Questions
Who are these courses for?”
These courses are designed for:
Students and freshers who want job-ready skills
Working professionals looking to upskill or switch careers
Freelancers who want to offer services confidently
Business owners who want to understand and manage digital work
No prior experience is required for beginner tracks—advanced tracks may expect basic familiarity.
Do you provide placement support?
Yes, we provide placement support such as:
Resume + portfolio review
Interview preparation (mock interviews + common questions)
Job/internship guidance and referral support (where available)
LinkedIn profile optimization
Note: Placement depends on your performance, attendance, project quality, and market conditions. We support you through the process, but we don’t guarantee jobs.
What is the duration and schedule?
Duration and schedule vary by course, but typically:
Course duration: 4–12 weeks (depending on course level)
Class frequency: 3–5 sessions per week
Session length: 60–120 minutes per class
Weekend batches: Available for working professionals
After enrollment, you’ll receive the full batch calendar and timeline.
Are classes online or offline?
We offer online classes (live instructor-led) and offline classes (at our center), depending on your chosen batch and location.
Some courses may also be available in hybrid mode (offline + recorded support).