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Full Stack Generative AI Career Path- Beginners
Go from beginner to a Generative AI expert in just 4 months and create your own projects with this hands-on bootcamp.
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Fill out the form, and our team will connect with you to assist you in starting your learning journey.
You Are Here Because…
You're ready for a change
You want a career that challenges and excites you—one that finally feels right.
You want job security and growth
A well-paying, in-demand career in data analytics is the opportunity you’ve been looking for.
You need future-proof skills
The world is evolving fast, and you want to stay relevant with skills that last.
You value expert guidance
Learning from professionals who’ve been there gives you the confidence to move forward.
Your Career Path To Full Stack Data Analyst
1
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
2
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
3
Build Proof of Work
Work on 15+ industry projects and case studies to develop a portfolio that demonstrates your expertise. Showcase real-world solutions to stand out to recruiters and hiring managers.
4
Get Placement-Ready Credentials
Achieve placement eligibility by maintaining 80% attendance, mastering 80% of the core curriculum, and excelling in soft skills evaluations.
5
Perfect Your Interview Skills
Polish your resume, practice mock interviews, and receive 1:1 feedback to ensure you’re prepared to impress recruiters.
6
Unlock Multiple Career Pathways
Access job opportunities through:
SkillCamper’s hiring partners
NSDC-backed placements
Leading platforms like LinkedIn and Naukri
SkillCamper’s hiring partners
NSDC-backed placements
Leading platforms like LinkedIn and Naukri
7
Get
100% Job Assistance!
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
What You'll Learn
Core Generative AI Skills You Will Learn
- Learn how to develop, train, and fine-tune various generative models such as GANs, VAEs, and autoregressive models to generate realistic images, text, and other data.
- Gain a deep understanding of Transformer architectures, including how they work, their evolution, and their application in natural language processing tasks.
- Master the art of creating effective prompts to enhance the performance and relevance of AI-generated responses, including techniques for zero-shot, few-shot, and chain-of-thought prompting.
- Learn strategies for collecting, cleaning, and augmenting datasets to ensure high-quality input for training generative models, which is crucial for model accuracy and performance.
- Acquire skills in integrating generative AI models using APIs from platforms like OpenAI, Hugging Face, and Google Cloud AI, and deploying these models in real-world applications.
- Understand the ethical implications of generative AI, including how to identify and mitigate biases, ensure fairness, and address privacy concerns in AI applications.
Current Generative AI Tools and Libraries you will learn Learn
- TensorFlow: An open-source platform for machine learning, ideal for building and training generative models like GANs and VAEs.
- PyTorch: A flexible, open-source library for developing and experimenting with generative models using dynamic computational graphs.
- Hugging Face Transformers: Provides easy-to-use interfaces for state-of-the-art transformer models, facilitating the integration and fine-tuning of models like GPT-3, BERT, and T5.
- Keras: A high-level neural networks API that simplifies building and training deep learning models on top of TensorFlow, CNTK, or Theano.
- OpenAI API: Offers access to advanced generative models like GPT-3 through an easy-to-use API, enabling powerful AI capabilities without extensive machine learning expertise.
- LangChain: An open-source framework that simplifies the development of applications powered by large language models (LLMs) by chaining interoperable components.
- LlamaIndex: Provides a simple interface to connect LLMs with data, building indices for efficient and accurate information retrieval.
- Gemini API: A service that provides cutting-edge generative AI capabilities for various applications, offering powerful tools for AI-driven content creation and analysis.
Essential communication and business skills relevant to the generative AI domain:
- Stakeholder Communication: Clearly explain generative AI capabilities, limitations, and benefits to stakeholders, aligning project goals with business objectives.
- Comprehensive Documentation: Maintain detailed documentation of generative AI models, workflows, and results to ensure team members and stakeholders can easily understand and collaborate.
- Project Management: Effectively plan, coordinate, and monitor generative AI projects, ensuring timely completion and adherence to business goals.
- Insightful Data Presentation: Translate complex generative AI data and model outputs into understandable and actionable insights for non-technical audiences.
- Interdisciplinary Collaboration: Facilitate seamless cooperation between data scientists, engineers, and business teams to integrate generative AI solutions into business processes and strategies.
Problem Solving and Design Thinking Skills you will learn
- Learn to apply these models to solve real-world problems across different industries, especially BFSI.
- Utilize AI to develop innovative solutions for complex problems.Enhance your ability to think creatively about how AI can be used to address unique challenges.
- Apply design thinking principles to create user-centric AI solutions.Learn to empathize with end-users, define clear problem statements, ideate solutions, and iterate through prototyping and testing.
- Develop skills in creating and testing prototypes of AI applications, ensuring they meet user needs and solve the intended problems effectively.
- Understand the importance of data quality and relevance in developing effective AI solutions.
- Learn best practices for deploying AI solutions at scale, ensuring reliability and performance.
- Learn strategies to ensure fairness, transparency, and accountability in AI solutions.
- Enhance your ability to work collaboratively with interdisciplinary teams to develop AI solutions.
Curriculum
Module 1: Prompt Engineering for LLMs
Learn to design, optimize, and evaluate prompts for effective AI interaction, including system workflows and ethical considerations.
- 1.1 Foundations of Prompt Engineering:
Understand key concepts, LLM behavior, and optimization techniques.
- 1.2 Intermediate Prompting Techniques:
Explore dynamic, chain-of-thought, and few-shot prompting through hands-on applications.
- 1.3 Advanced Prompting Strategies:
Master prompts for specific use cases, multimodal models, and advanced techniques.
- 1.4 Prompt Engineering in System Design:
Design workflows, manage context, and create meta-prompts for scalable systems.
- 1.5 Optimization and Evaluation:
Optimize performance, balance cost, and evaluate output accuracy using tools like RLHF.
- 1.6 Ethical Considerations:
Address bias, fairness, and transparency while crafting interpretable prompts.
Module 2: LangChain for LLM Application Development
Learn to develop advanced LLM-powered applications using LangChain’s tools and workflows.
- 2.1 Introduction to LangChain & Chatbot Mechanics:
Understand LangChain components and build chatbots with memory strategies.
- 2.2 Chains and Agents:
Design sequential chains, integrate custom tools, and master LangChain Expression Language.
- 2.3 Retrieval Augmented Generation (RAG):
Create RAG applications with vector databases and context-rich retrieval prompts.
Module 3: LangGraph for LLM Application Development
Explore LangGraph workflows to create intelligent systems with memory and user interaction.
- 3.1 Introduction to LangGraph:
Build simple workflows with agents, memory, and deployment basics.
- 3.2 State and Memory:
Master state management and memory-enabled chatbot development.
- 3.3 UX and Human-in-the-Loop:
Enhance user experience with dynamic feedback and real-time workflows.
- 3.4 Building Your Assistant:
Design complex workflows using parallelization and map-reduce techniques.
- 3.5 Long-Term Memory:
Integrate schemas and datasets for personalized long-term memory solutions.
Module 4: Mastering Retrieval-Augmented Generation (RAG) for AI Engineers
Build and optimize RAG systems for knowledge-based AI applications.
- 4.1 Introduction to RAG:
Understand RAG systems, components, and real-world applications.
- 4.2 Data Preparation and Indexing:
Learn chunking strategies and indexing for optimal retrieval.
- 4.3 Query Optimization:
Enhance retrieval relevance with query compression and optimization pipelines.
- 4.4 Retriever Implementation:
Implement and refine dense, sparse, and hybrid retrieval methods.
- 4.5 The Generative Component:
Use transformer models and fine-tuning for effective generative pipelines.
Module 5: Mastering LlamaIndex for LLM-Driven Applications
Develop intelligent workflows using LlamaIndex for data management and querying.
- 5.1 Introduction to LlamaIndex and LLM Basics:
Set up workflows and understand LlamaIndex architecture.
- 5.2 Core Concepts:
Explore privacy best practices and address security challenges in LLM applications.
- 5.3 LlamaIndex Fundamentals:
Integrate LLMs and compare popular models for performance.
- 5.4 Practical Implementation:
Build and optimize data indexes for efficiency.
- 5.5 Advanced Prompt Engineering:
Refine query performance and utilize role-based strategies.
- 5.6 Data Indexing:
Master embedding models, metadata handling, and vector storage.
- 5.7 Querying Data:
Explore natural language querying and external source integration.
Module 6: Mastering Hugging Face for NLP and Machine Learning
Leverage Hugging Face tools to build and deploy NLP and ML applications.
- 6.1 Introduction to Hugging Face:
Navigate tools like transformers, datasets, and tokenizers.
- 6.2 Transformers and Pre-Trained Models:
Use and fine-tune pre-trained transformer models.
- 6.3 Tokenization and Data Preparation:
Master tokenization and preprocess datasets for NLP tasks.
- 6.4 Training and Fine-Tuning:
Build training pipelines and optimize model performance.
- 6.5 Deployment and Inference:
Deploy models using APIs and scalable solutions like Hugging Face Spaces.
- 6.6 Advanced Topics:
Explore custom tokenizers, generative AI, and large dataset handling.
Assessments Involved
Evaluate your understanding and practical application of generative AI concepts, workflows, and tools through real-world scenarios and hands-on exercises.
- Module 1: Assess the ability to design and optimize prompts, develop workflows, and address ethical considerations.
- Module 2: Evaluate chatbot mechanics, chain workflows, and RAG integration via practical projects.
- Module 3: Test skills in building LangGraph workflows, managing state and memory, and creating long-term memory-enabled applications.
- Module 4: Assess proficiency in RAG systems, data preparation, retriever implementation, and generative pipelines.
- Module 5: Measure understanding of LlamaIndex fundamentals, data indexing, querying, and automation by building functional workflows.
- Module 6: Test expertise in Hugging Face tools, including model fine-tuning, tokenization, and deployment.
- Final Assessment: Integrate learnings across modules in a comprehensive evaluation project.
Capstone Projects Involved
Apply your knowledge to create impactful AI-driven applications tailored to solve real-world challenges in your domain.
- Module 1: Develop a domain-specific AI assistant with advanced prompts and workflows.
- Module 2: Create a LangChain-powered application integrating RAG workflows and memory-enabled chatbots.
- Module 3: Build and deploy a LangGraph application with memory, advanced workflows, and long-term personalization.
- Module 4: Design a RAG system addressing challenges with data retrieval, query optimization, and generative AI pipelines.
- Module 5: Build an intelligent chatbot using LlamaIndex, combining indexing, querying, and automation.
- Module 6: Develop and deploy an NLP application using Hugging Face tools for dataset preparation, model fine-tuning, and scalable deployment.
Learn Essential Skills & Tools
Data Analytics is the Career of the Future
IN-DEMAND CAREER
40%
Increase in demand for advanced roles by 2030
MASSIVE JOB OPENINGS
1M +
Job openings and counting for Data Analysts worldwide.
SKYROCKETING GROWTH
25%
Annual growth rate of the data analytics industry
BIGGEST GROWING INDUSTRY
$550 Billion
Amount industry is set to grow, by 2028
Industry Specialization -
Why You Need It & How We Deliver
Why Industry Knowledge Matters
In data analytics, domain-specific knowledge is essential. Understanding the unique challenges and opportunities within an industry enhances your skills and appeal to employers. Here's why mastering industry knowledge is crucial:
Relevance:
Applying data analytics within a specific context, such as healthcare, finance, or marketing, demonstrates your ability to address real-world problems.
Competitive Edge:
Specialized knowledge sets you apart from other data professionals who may only possess general analytical skills.
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
How We Provide Industry Specialization
At SkillCamper, we don’t just teach data analytics; we ensure you can apply it effectively in the real world. Here’s how we help you specialize:
Tailored Curriculum Options:
Choose from a variety of industry tracks such as Financial Analytics, Banking Analytics, Ecommerce Analytics, and more.
Expert Instruction:
Learn from instructors who are not just educators, but also seasoned professionals from the very industries you're interested in.
Real-World Projects:
Tackle actual industry problems through case studies designed by practitioners at top leading companies like Microsoft, Citibank and many more, giving you hands-on experience.
Crafting Context-Aware Prompts
Design prompts for specific domain use cases, ensuring optimized performance and effective context management for LLM interactions.
Skills learned:
Prompt optimization
Context management
Performance evaluation
Memory-Enabled Chatbot Development
Build a chatbot using LangChain, incorporating memory and chain workflows for seamless multi-session conversations.
Skills learned:
chain workflows
Custom tool development
Personalized AI Assistants with LangGraph
Develop an AI assistant with LangGraph that uses long-term memory and personalization for enhanced user interactions.
Skills learned:
Personalization
Long-term memory
Workflow optimization
Retrieval-Augmented Generation Systems
Create a RAG system that integrates advanced retrieval techniques and generative pipelines to deliver precise, context-rich outputs.
Skills learned:
Dense and sparse retrieval
Query optimization
Generative pipelines
Intelligent Querying with LlamaIndex
Implement a data indexing and querying system using LlamaIndex for efficient natural language queries and metadata handling.
Skills learned:
Data indexing
Metadata management
Natural language querying
Scalable NLP Applications with Hugging Face
Develop and deploy an NLP application using Hugging Face tools for fine-tuning pre-trained models and scalable deployment.
Skills learned:
Model fine-tuning
Dataset preparation
Scalable Deployment
Ethical AI Prompt Engineering
Design prompts and workflows that address transparency, fairness, and bias mitigation for responsible AI development.
Skills learned:
Bias mitigation
Ethical workflow design
Transparency
End-to-End Generative AI Solution
Build a comprehensive generative AI application by integrating RAG, LangGraph, LlamaIndex, and Hugging Face tools.
Skills learned:
Cross-module integration
End-to-End AI system design
Scalable solutions
An Intelligent Learning Platform That Feels Like A Personal Mentor
Completing Python Libraries for Data Science will give you practical skills to work with Python for data manipulation and analysis. Here’s what you’ll be able to do:
Learn by Doing with Interactive Lessons
Watch real-time screencasts and code along in an interactive environment.
AI-Powered Feedback to Sharpen Your Skills
Get instant feedback on your code, understand mistakes, and improve faster.
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Hands-On Practice in Skill Lab
Apply what you learn through exercises in our integrated coding environment.
Track Your Growth with Built-in Analytics
Monitor progress, identify strengths, and stay on top of your learning journey.
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Assess Your Skills & Get Scores
Take assessments, measure your performance, and see where you stand.
Unlock Career Opportunities with Job Board Access
Connect with job listings and take the next step toward your data analytics career.
Meet Your Instructors
Our Career Path instructors are experts with real-world experience. They've been in your shoes. They make learning fun and easy. They will motivate and support you every step of the way.
Is This Program Right For You?
You'll fit right in if
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
You value a supportive community.
You want to learn alongside a network of peers and experts who are as invested in your success as you are.
You're committed to making a career change.
You're done with feeling stuck in your current job and are prepared to invest time and effort to change your career trajectory.
You seek quality education at a fair cost.
You believe in getting quality education without spending tens of thousands, ready for a significant career leap.
You love solving puzzles and facing challenges.
You thrive on tackling complex problems and enjoy the process of finding innovative solutions.
You appreciate personalized learning.
You prefer an educational environment where your unique needs are met, and you aren’t just another face in the crowd.
We're not for you if
You’re only interested in theory.
If you’re interested primarily in theoretical knowledge without applying it to real-world projects, this might not be the fit.
You're looking for a quick fix.
If you’re not ready to dedicate time to fully engage in the learning process, this program won't meet your expectations.
You want a casual learning experience.
We’re focused on delivering skills that employers demand, not just casual learning that doesn’t lead to job readiness.
You're undecided about a career in data analytics.
If you’re still exploring whether data analytics is right for you, you might want to start with some introductory resources first.
You’re not ready to invest in yourself.
Our program requires a commitment to personal and professional growth.
You don't enjoy working with numbers and data.
Our curriculum centers around data analysis, which is integral to every aspect of our training.
Land Your Dream Job With
100% Job Assistance!
Craft a Winning Resume
Get expert help building a resume that showcases your data skills.
Company Screening & Selection
Get expert help building a resume that showcases your data skills.
Nail Your Interview
Get expert help building a resume that showcases your data skills.
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How is SkillCamper Different from Other Online Courses?
Live Training
Small Cohort Size
True Project-Based Learning
Personalized Mentorship
1:1 Doubt Solving
Job-Ready Portfolio
Blended Learning for Working Professionals
Made Solely for Working Professionals
Career Transition Assistance
Affordable
15+ Industry Case Studies
No time commitment
Video Courses
SkillCamper
Bootcamps
Learner Reviews
Our courses and community have helped learners just like you kickstart & progress rapidly in their careers.
Sanjay Shah
Civil Engineer
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“The projects and the friendly community make learning fun and helpful. “
Ashish Lodhe
Application Support Engineer (Now Analyst at Accenture)
“This platform doesn’t just teach tools—it focuses on real-world application and domain knowledge, which makes a huge difference.”
Suman M
Maxlife Insurance (Axis Bank Branch Banking)
“Everything is explained in a way that makes sense, even for beginners. The lessons are clear, and I never felt lost at any point.”
Ravi Prakash
Automation Test Analyst
“The way topics are broken down makes them so much easier to understand.”
Ayush Sharma
Relationship Manager at City Union Bank
“Every time I had questions, they were addressed, and the sessions have been really good.”
Invest In Yourself
Choose the Plan That Fits Your Goals!
Recorded Content
Full Session Recordings
Study Materials
Projects/Assignments
Assignments
Capstone Project
Portfolio Development
Personalized Support
Small Cohort Size (10 Learners)
Community/Support
WhatsApp Support
Peer Learning Groups
Industry Specialization
Domain-Specific Modules
Tailored Projects for Specialization
Industry-Grade Case Studies
Industry Specialization
Resume Templates
Resume Building
Mock Interviews
Placement Support
LinkedIn Optimization
Job Search Support
Job Board Access
Career Guidance Until Placement
Eligibility for Interview
Completion of Core Modules
Skill Readiness Assessment (80% Attendance)
Live Sessions
Mentor-Led Sessions
Industry Expert Guest Sessions
Doubt-Clearing Sessions
Get Certified
Showcase Your Skills with Confidence
Frequently Asked Questions
What technologies will I learn in the Full Stack Generative AI Bootcamp?
You’ll master a range of cutting-edge AI technologies, including generative models like GPT, Gemini, LLAMA, and Claude. You’ll also learn how to work with Retrieval-Augmented Generation (RAG), vector databases, and LLM frameworks, along with tools for data preparation, model fine-tuning, and deployment.
Can I join the Generative AI bootcamp without any prior experience?
Yes! This course is designed for beginners, so you don’t need any prior experience in AI or programming. We start from the basics and guide you through to more advanced concepts, helping you build your skills step by step.
How long is the Full Stack Generative AI Bootcamp, and is it flexible?
The bootcamp lasts for 4 months, with flexible learning options. You can learn at your own pace or attend live classes with industry experts. It’s structured for working professionals, requiring a time commitment of 15–20 hours per week.
What will I learn in this bootcamp?
You’ll learn the fundamentals of generative AI, including how to build, fine-tune, and deploy AI models. Key topics include prompt engineering, working with large language models (LLMs), RAG architecture, and ethical AI practices. You’ll also apply your skills through real-world projects in industries like banking and finance.
Will I have access to the course materials after the bootcamp ends?
Yes, you will have lifetime access to all course materials, recorded sessions, and project files, so you can revisit the content and continue practising after completing the bootcamp.
What kind of career support will I receive during and after the bootcamp?
We provide full placement support, including 1:1 mentorship, mock interviews with industry leaders, resume-building workshops, and access to our network of partner companies. We also offer soft skills training and interview preparation to ensure you’re ready for the job market.
What are the key features of this bootcamp?
This bootcamp offers a comprehensive learning experience with hands-on projects, industry-tested problem-solving frameworks, and AI-powered tools to enhance your learning. You’ll also benefit from 1:1 mentorship, flexible learning options, and a 7-day money-back guarantee.
What is the cost of the bootcamp, and are there payment options?
The bootcamp costs ₹75,000, with easy EMI options available. You can also try the program risk-free with a 7-day no-questions-asked money-back guarantee.
What types of projects will I work on during the bootcamp?
You’ll work on industry-relevant projects, such as fraud detection in banking, sales optimization, and customer segmentation. These real-world case studies will give you practical experience in applying generative AI to real-world problems.
How will this bootcamp prepare me for a career in AI?
By the end of the bootcamp, you’ll have a solid portfolio of AI projects, in-depth knowledge of generative AI models, and hands-on experience with industry-specific challenges. With our placement support, you’ll be well-prepared to land a job in the rapidly growing AI industry.
I don’t have a tech background; can I still take this course?
Absolutely. This course is designed for complete beginners. We start from the basics, covering everything from Python to SQL, making it accessible to those without a tech background.
Don't Just Learn. Specialize.
India's only course with industry specialization in the domain of your choice.
50+
Industry case studies
10+
Problem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Learning
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies
Explore Career Paths
Ready to become a Data Scientist that industry loves to hire? Apply Now.
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