Gen AI BootCamp

Q: How much does a Gen AI expert earn?

As per a study by Zip Recruiter , the starting salary of a Gen AI Engineer in the US in 2024 is 115,864 a year. Gen AI is the most emerging field and professionals specializing in Gen AI skills will command higher salaries than most other domains.

The Gen AI Bootcamp teaches you how to use generative AI to promote innovation within your business. You will learn how to create effective prompts that lead AI systems to produce high-quality results for a variety of activities. By mastering prompt engineering, you can better connect AI capabilities with business objectives, increasing productivity and adding value.

70 hours of live instructor-led training
Get trained by recognized industry experts
Put your learnings into action with recall quizzes and lab assessments
Strengthen your fundamentals with case studies
Gain the skills to bag lucrative opportunities in MAANG companies

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Gen AI Bootcamp Overview

AgileFever’s Generative AI BootCamp is a 70-hour live, instructor-led program designed for professionals looking to create, fine-tune, and deploy GenAI-powered apps. Whether you are dealing with LLMs, transformers, or retrieval-augmented generation (RAG), this BootCamp will teach you actual skills, not just theory. You will be able to work with real data, and real models.

You will hear from industry professionals who have firsthand experience deploying GenAI systems at MAANG and AI-first organisations. Every session is live, interactive, and supported with projects that lead straight to portfolio-ready work.

Gen AI Bootcamp Key Highlights

70 hours of live, expert-led training with real-time interaction
Covers GenAI fundamentals, transformers, RAG, and PEFT techniques
Learn prompt engineering patterns: CoT, ToT, function calling, and guardrails
Build LLM apps using LangChain, LlamaIndex, FAISS, and Pinecone
Train and fine-tune models with PEFT and LoRA, adapters, and parameter-efficient tuning
Hands-on projects using Hugging Face, OpenAI, and vector DBs
Ethical AI, bias mitigation, and explainability embedded in the curriculum
Ability to choose your capstone project from real-world use cases for tailored, goal-oriented learning.
Capstone project: deploy a live GenAI app with retrieval and reasoning
Taught by GenAI experts with experience in MAANG and global AI firms

Job Market Readiness & Visibility

Resume refinement with direct input from top recruiters to craft a standout profile
Mock interviews conducted by real hiring managers to build interview confidence and readiness
LinkedIn profile optimization to boost visibility and attract top opportunities

Gen AI Bootcamp Curriculum

https://www.agilefever.com/wp-content/uploads/2025/05/Gen-AI-Bootcamp-Brochure.pdf

Python

Topics:

Python basics for AI development
Functions, loops, conditionals
Working with libraries: NumPy, Pandas
JSON, APIs, and data handling

Learning Objective:

Provide essential Python skills for GenAI tasks.

Learning Outcomes:

Able to write Python scripts and use AI libraries.

Use Cases/ Projects:

Python Mini Project – Build a chatbot or data parsing tool

Assessments:

Python coding quiz and hands-on lab.

Deep Learning

Topics:

Neural Network , ANN , CNN , RNN & LSTM

NLP

Topics:

Text cleaning, Word embedding, Sentiment analysis

Generative AI Foundations

Topics:

History and Evolution of Generative AI
Overview of LLMs, Diffusion Models, GANs, and Autoencoders
Architecture: Decoder, Encoder-Decoder, Transformers

Learning Objective:

Understand foundational GenAI models and their evolution.

Learning Outcomes:

Able to differentiate major generative architectures.

Use Cases/ Projects:

GenAI with GANs & Diffusion – Create AI-generated images using GANs and Diffusion models

Assessments:

Quiz + conceptual application activity.

Prompt Engineering Mastery

Topics:

Zero-shot, Few-shot, Chain-of-Thought Prompts
Prompt templates and optimization techniques
Prompt testing and evaluation

Learning Objective:

Design and optimize prompts for LLMs.

Learning Outcomes:

Able to craft effective prompts for various GenAI use cases.

Use Cases/ Projects:

Prompt Engineering – Generate QA systems and summaries using Chain-of-Thought

Assessments:

Prompt performance evaluation task.

LLMs in Depth

Topics:

GPT, LLaMA, Claude, Gemini architecture comparison
Tokenisation, Attention, Positional Embedding
OpenAI and Claude APIs in practice

Learning Objective:

Explore the inner workings of modern LLMs.

Learning Outcomes:

Able to evaluate and choose appropriate LLM APIs.

Use Cases/ Projects:

LLM Integration Project – Build a text generator using OpenAI, Gemini API or Claude APIs

Assessments:

Hands-on API implementation and report.

Retrieval-Augmented Generation (RAG)

Topics:

Vector Databases: FAISS, Pinecone, Weaviate
Embedding generation and similarity search
RAG pipelines with LangChain and LlamaIndex

Learning Objective:

Implement knowledge-aware LLM applications using RAG.

Learning Outcomes:

Able to connect vector DBs with LLMs to build RAG pipelines.

Use Cases/ Projects:

RAG Chatbot – Develop a knowledge-based chatbot with vector DB + LangChain

Assessments:

Pipeline performance evaluation + demo.

Fine-Tuning of LLM

Topics:

LoRA, QLoRA, and PEFT explained
Fine-tuning walkthrough on Hugging Face
Quantization, training data prep, evaluation

Learning Objective:

Adapt LLMs to specific tasks via fine-tuning. Fne Tunning open Source model

Learning Outcomes:

Able to fine-tune models and evaluate performance gains.

Use Cases/Projects:

Fine-Tuning App – Using open source model for support ticket classification

Assessments:

Submit training notebook + evaluation results.

Multi-modal Generative AI/ Advanced Generative AI - Image Generation Capabilities

Topics:

Text-to-Image: DALL·E, Midjourney, Stable Diffusion
Text-to-Video: Runway, Gen-2 overview
Image Prompting, ControlNet basics

Learning Objective:

Generate and manipulate visual content with GenAI.

Learning Outcomes:

Able to generate images/videos from text prompts.

Use Case/Projects:

Multimodal Content Creation – Generate art and video from prompts

Assessments:

Image and video generation challenge.

GenAI for Code & Productivity

Topics:

GitHub Copilot, CodeWhisperer
Automating repetitive tasks with LLMs
Doc summarization, form filling, and report generation

Learning Objective:

Use GenAI tools for automation and developer productivity.

Learning Outcomes:

Able to implement LLM-based automation tools.

Use Cases/Projects:

Productivity Tool – Auto-generate code, reports, or documentation

Assessments:

Tool-based workflow demonstration.

Deployment & LLMOps

Topics:

LangChain orchestration
Streamlit, Gradio,
Model versioning, Hugging Face Spaces, and local deployment
Docker containers

Learning Objective:

Deploy and manage GenAI apps efficiently.
Using Docker for deployment

Learning Outcomes:

Able to deploy apps via Gradio, Docker, or HF Spaces.

Use Cases/Projects:

GenAI App Deployment – Launch an app using Streamlit, Docker, or Hugging Face

Assessments:

Live demo and deployment checklist.

GenAI Ethics, Bias & Safety

Topics:

Prompt injection and adversarial attacks
Bias mitigation, hallucination control
Copyright, intellectual property, and ethical guidelines

Learning Objective:

Understand and mitigate GenAI risks.

Learning Outcomes:

Able to implement safety and fairness protocols.

Use Cases/Projects:

Ethics Project – Implement a moderation filter for safe outputs

Assessments:

Case study analysis and written reflections.

Capstone Project

Topics:

Build a full-stack GenAI application
Integrate RAG + prompt engineering + deployment
Examples: LegalBot, AI Tutor, HR Resume Screener

Learning Objective:

Demonstrate GenAI skills in a complete solution.

Learning Outcomes:

Deliver a production-ready GenAI app with key integrations.

Use Cases/Projects:

Capstone Project – Build a full-stack GenAI solution (LegalBot, AI Tutor, Resume Screener)
Choose a Capstone Project from your desired domain. Focuses on the end-to-end implementation of the whole course.

Assessments:

Project showcase, demo, and peer review.

Career Support Program

Subtopics:

Foundation & Personal Branding

Career Vision & Mapping
Resume Mastery
LinkedIn Optimisation
Portfolio & GitHub showcase

Job Market Readiness

Job search strategy
Mock Interviews (Behavioural)
Mock Interviews (Technical)

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Our Happy Customers

Who can attend the Gen AI Bootcamp?

The Gen AI Bootcamp is ideal for:

Python Developers
Data Scientists
AI Engineers
Machine Learning Engineers
Data Analysts

Python Developers
Data Scientists
AI Engineers
Machine Learning Engineers
Data Analysts

Python Developers
Data Scientists
AI Engineers
Machine Learning Engineers
Data Analysts

Training Schedule

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Gen AI Bootcamp Exam Details

Exam Details

Name of Exam – AgileFever Gen AI Bootcamp Examination

Exam details are as follows:

Practical Exams, Lab Assessments, and Projects at the end of every completed module.
Capstone Project at the end of the 70-hour training.

Prerequisites

Anyone can register for this course. Basic knowledge of Python can be beneficial.

Benefits

Corporate Benefits

Ace NLP projects
Create advanced chatbots
Enhance productivity
Improve project quality
Faster implementation

Individual Benefits

Become proficient in prompt engineering and apply to MAANG companies
Gain Gen AI skills that will rule the next decades
Build and enhance LLM-based applications
Gain expertise to be in demand across multiple industries – Technology, Healthcare, Education, Hospitality, Finance, Entertainment, Sports, and more

Certification Process

Step:1 Register for the Program: Enrol in the Generative AI BootCamp.

Step 2: Attend and Complete the Training: Attend and live sessions and complete the course curriculum.

Step 3: Complete the Capstone Project: Apply your learning in a hands-on project to demonstrate your practical skills.

Step 4: Receive Course Completion Certificate: Upon successful completion, receive an industry-recognised certificate from AgileFever.

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Testimonials

I was looking to pivot my career into AI, and the Gen AI BootCamp provided exactly what I needed. The course covered everything from foundational models to advanced fine-tuning methods in a clear and engaging way. The interactive sessions and expert guidance made complex topics accessible, and the practical exercises gave me the confidence to start working on my own AI projects. I now feel well-equipped to enter the AI field and am excited about the new career opportunities ahead. This bootcamp is a must for anyone looking to break into AI or advance their knowledge

As a product manager at a tech startup, I needed to understand how generative AI could enhance our products and drive innovation. The Gen AI BootCamp was perfect for this. The course offered a comprehensive overview of generative models, from basic concepts to advanced fine-tuning techniques. The hands-on projects allowed me to see how these technologies could be applied in real-world scenarios, which has been invaluable for our product development. The insights I gained have already influenced our strategic direction and improved our product offerings

The Gen AI BootCamp was a game-changer for my career. As a software engineer with a passion for AI, I wanted to dive deeper into generative models, but I didn't know where to start. The bootcamp provided hands-on experience with cutting-edge techniques and gave me the confidence to apply these skills to my projects. The instructors were incredibly knowledgeable and supportive, and the real-world applications we explored were both fascinating and practical. I’ve already started integrating generative AI into my work, and the impact has been significant. Highly recommend this bootcamp to anyone serious about advancing in AI!

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Gen AI Bootcamp FAQs

How will the Gen AI Bootcamp help me?

The Gen AI Bootcamp will equip you with essential skills in the rapidly evolving field of artificial intelligence. You’ll gain hands-on experience with cutting-edge technologies, including machine learning, natural language processing, and generative models.

The Bootcamp covers practical applications and real-world scenarios, ensuring you can apply your knowledge effectively. You’ll learn from industry experts, work on collaborative projects, and build a strong foundation in AI techniques and tools. By the end, you’ll be well-prepared to tackle complex AI challenges and advance your career in this dynamic field.

How much does a Gen AI expert earn?

As per a study by Zip Recruiter, the starting salary of a Gen AI Engineer in the US in 2024 is 115,864 a year.

Gen AI is the most emerging field and professionals specializing in Gen AI skills will command higher salaries than most other domains.

Which industries need Gen AI experts?

Gen AI is the future and the future has already arrived. Gen AI is now widely used across multiple industries. As a result, Gen AI experts often experience a very high demand across IT, Finance, Media, Infrastructure, Manufacturing, Healthcare, Hospitality, and more.

What is the duration of this Bootcamp?

This is a comprehensive Bootcamp divided into 4 major modules:

Foundation Models
Fine-tuning LLMs
Prompt Engineering
RAG Systems

The total duration of these modules is 70 hours.

Furthermore, this course is specifically curated to help learners achieve real-world skills and so learners will also participate in different projects during the Bootcamp.

What are the different projects and use cases in this Bootcamp?

Here’s a list of projects and use cases you’ll engage in throughout the Bootcamp:

Research and present on a specific FM, analyzing its architecture, capabilities, and limitations.
Finetune a pre-trained LLM on a specific dataset for a chosen task such as sentimental analysis, question answering, and more.
Use case: Design and refine prompts for various tasks comparing the effectiveness of different approaches. Participate in a prompt engineering competition, aiming to achieve the best performance on a given task using only prompts.
Project on building vector database.

Who are the course instructors?

The course instructors are globally renowned Gen AI experts. The curriculum is created by our course instructors with the sole objective of helping candidates learn the most in-demand skills.

What are the job roles I can apply for after completing this Bootcamp?

After completing the Gen AI Bootcamp, you can apply for various job roles such as:

Machine Learning Engineer: Develop and implement machine learning models and algorithms.
Data Scientist: Analyze and interpret complex data to help make data-driven decisions.
AI Research Scientist: Conduct research to advance the field of artificial intelligence and develop innovative AI solutions.
NLP Engineer: Specialize in natural language processing technologies to enhance language understanding and generation.
AI Product Manager: Oversee the development and deployment of AI-driven products and solutions.
Data Analyst: Extract insights from data and generate reports to support business strategies.

These roles leverage the skills and knowledge gained from the boot camp to address various challenges and opportunities in the AI field.

Which companies hire Gen AI specialists?

Companies across various industries hire Gen AI specialists, including:

Tech Giants: Google, Microsoft, Amazon, Apple, and Meta (Facebook) seek specialists for their AI and machine learning teams.
Startups: Innovative startups like OpenAI, Cohere, and Anthropic are at the forefront of AI research and applications.
Financial Services: Firms like JPMorgan Chase, Goldman Sachs, and Bloomberg use AI for data analysis and financial modelling.
Healthcare: Companies such as IBM Watson Health, Siemens Healthineers, and Medtronic apply AI to improve diagnostics and patient care.
Retail and E-commerce: Walmart, Target, and Alibaba use AI for personalized shopping experiences and supply chain optimization.
Automotive: Tesla, Waymo, and General Motors are investing in AI for autonomous driving and smart vehicle technologies.

These organizations value Gen AI specialists for their expertise in developing advanced AI solutions and driving innovation.

What type of career growth can I expect after completing this Gen AI Bootcamp?

After completing a Gen AI course, you can expect substantial career growth due to the increasing demand for AI expertise.

You’ll gain skills that are highly sought after across industries, leading to opportunities for roles with higher responsibility and better compensation. With the rapid advancement of AI technologies, professionals in this field are often presented with opportunities for career advancement, such as moving into senior technical positions, leading AI projects, or transitioning into specialized roles like AI research or product management.

The evolving nature of AI also means continuous learning and career development, keeping you at the forefront of technology and innovation.

What type of technical knowledge is needed to apply for this course?

Anyone can apply for this course. Technical knowledge is a plus but our courses are designed in such a way that it helps you grasp core concepts from scratch. That means learners without any prior exposure to tech can also benefit from this Bootcamp and embrace a remarkable career in tech.

Who is this course ideal for?

The Gen AI bootcamp is ideal for a diverse range of individuals interested in exploring the transformative potential of generative AI technologies. Here’s who should consider attending:

Tech Enthusiasts: Those fascinated by emerging technologies and eager to understand how generative AI is shaping various industries.
Aspiring Data Scientists and AI Specialists: Individuals looking to deepen their knowledge in machine learning and AI, and who wish to specialize in generative models.
Developers and Engineers: Professionals seeking to integrate advanced AI solutions into their projects or enhance their existing skill set with cutting-edge AI techniques.
Researchers and Academics: Those involved in AI research or related fields who want to stay updated with the latest advancements and applications of generative AI.
Product Managers and Innovators: Professionals interested in leveraging generative AI to create new products, services, or solutions in their respective industries.
Entrepreneurs and Startups: Individuals looking to understand how generative AI can drive innovation and competitive advantage in their ventures.
Students and Career Changers: Those considering a career shift into AI and technology, or students seeking hands-on experience with generative AI tools and concepts.

Attending a Gen AI bootcamp provides valuable insights and practical skills for anyone looking to harness the power of generative AI in their professional or academic pursuits.