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Gen AI BootCamp

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In this Generative AI Bootcamp, you will learn and work with LLMs, prompt engineering, RAG, fine-tuning, and deployment to build production-ready GenAI applications that align AI capabilities with business objectives.

  • 72 hours of live instructor-led training
  • Build applications using modern LLMs
  • Design effective prompt engineering strategies
  • Implement RAG systems with vector databases
  • 3 Capstones and 9 hands-on projects
  • Deploy and manage GenAI applications in production
  • Gain the skills to bag lucrative opportunities in MAANG companies
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    Course Overview

    AgileFever’s Generative AI BootCamp is a 72-hour live, instructor-led program designed for professionals looking to create, fine-tune, and deploy GenAI-powered apps. Generative AI is reshaping products, automation, search, and intelligent assistants. Building effective GenAI systems requires more than just APIs; it demands prompt design, retrieval workflows, evaluation, deployment, and governance. This bootcamp covers the complete Generative AI lifecycle.

    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.

    Program Highlights

    72 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

    16+ Tools Covered

    Gain hands-on experience with leading tools:

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    claude-logo
    streamlit-logo
    gemini-logo
    chatgpt-logo
    pandas-logo
    chroma-logo
    llama-logo
    pinecone-logo
    gradio-logo
    langchain-logo
    llamaindex-logo
    midjourney-logo
    hugging-face-logo
    faiss-logo
    dall-e-logo

    Job Statisticss

    • Content & Marketing Automation - 30%
    • Software Development & Coding Assist - 25%
    • Enterprise AI & Internal Tools - 20%
    • Customer Support & Sales - 15%
    • Design, Media & Creative AI - 10%
    growth-icon (2)

    100M+

    Fastest technology adoption in history (GenAI tools)

    growth-icon (2)

    60–70%

    Knowledge-based roles now require GenAI skills

    growth-icon (2)

    30–50%

    Productivity increase after adopting GenAI workflows

    growth-icon (2)

    $150K–$300K+

    Global salary range for GenAI-focused roles

    Gen AI BootCamp Course Content

    Download Syllabus
    Module 1 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.
    Module 2 Deep Learning

    Topics:

    • Neural Network , ANN , CNN , RNN & LSTM
    Module 3 NLP

    Topics:

    • Text cleaning, Word embedding, Sentiment analysis
    Module 4 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.
    Module 5 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.
    Module 6 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.
    Module 7 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.
    Module 8 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.
    Module 9 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.
    Module 10 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.
    Module 11 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.
    Module 12 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.

    Schedules for Gen AI BootCamp

    Mar 14 – May 10, 2026

    SCHEDULE EST 09:30 AM - 01:30 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekend Cohort | Satur–Sun | 4 hrs/day

    Apr 13 – Jun 15, 2026

    SCHEDULE EST 08:00 PM - 10:00 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekday Cohort | Mon–Thu | 2 hrs/day

    May 16 – Jul 12, 2026

    SCHEDULE EST 09:30 AM - 01:30 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekend Cohort | Satur–Sun | 4 hrs/day

    Jun 22 – Aug 24, 2026

    SCHEDULE EST 08:00 PM - 10:00 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekday Cohort | Mon–Thu | 2 hrs/day

    Jul 18 – Sep 13, 2026

    SCHEDULE EST 09:30 AM - 01:30 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekend Cohort | Satur–Sun | 4 hrs/day

    Aug 31 – Nov 3, 2026

    SCHEDULE EST 08:00 PM - 10:00 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekday Cohort | Mon–Thu | 2 hrs/day

    Sep 19 – Nov 15, 2026

    SCHEDULE EST 09:30 AM - 01:30 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekend Cohort | Satur–Sun | 4 hrs/day

    Nov 9, 2026 – Jan 14, 2027

    SCHEDULE EST 08:00 PM - 10:00 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekday Cohort | Mon–Thu | 2 hrs/day

    Nov 21, 2026 – Jan 17, 2027

    SCHEDULE EST 09:30 AM - 01:30 PM
    FORMAT Live Virtual
    $3,000.00
    $1,600.00 47% OFF
    As low as $66.67/month
    Filling Fast

    2+ Participant? - Get Discount

    Enroll Now

    Weekend Cohort | Satur–Sun | 4 hrs/day

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      Gen AI BootCamp Projects

      Build your portfolio with practical, end-to-end projects:

      Project 1 Python Mini Project – Build a chatbot or data parsing tool
      Project 2 GenAI with GANs & Di¡usion – Create AI generated images using GANs and Di¡usion models
      Project 3 Prompt Engineering – Generate QA systems and summaries using Chain-of Thought
      Project 4 LLM Integration Project – Build a text generator using OpenAI, Gemini API or Claude APIs
      Project 5 RAG Chatbot – Develop a knowledge-based chatbot with vector DB + LangChain
      Project 6 Fine-Tuning App – Using open source model for support ticket classification
      Project 7 Multimodal Content Creation – Generate art and video from prompts
      Project 8 Productivity Tool – Auto-generate code, reports, or documentation
      Project 9 GenAI App Deployment – Launch an app using Streamlit, Docker, or Hugging Face

      Capstone Projects

      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 72-hour training.
      Prerequisites

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

      Gen-AI-BootCamp-certificate

      Career Assistance

      • Group Mentoring & Hiring Exposure

        Learn directly from active hiring managers and industry leaders. Gain real insights, confidence, and visibility that go beyond the classroom.

      • Interview Prep & Hiring Readiness

        Build interview confidence through real-world assessments, structured prep, and feedback from professionals who actually hire.

      • AI-Powered Profile Optimization

        Optimize your resume, LinkedIn, and GitHub to attract recruiter attention and stand out in competitive hiring pipelines.

      • Mock Interviews & 1:1 Career Mentoring

        Get personalized coaching from industry veterans—covering interviews, communication, workplace presence, and career strategy.

      Benefits That Set You Apart

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      Gen AI BootCamp is ideal for

      • Python Developers
      • Machine Learning Engineers
      • Data Scientists
      • Data Analysts
      • AI Engineers
      Enquire Now

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      Talk to Advisor

      Journeys that keep Inspiring ✨ everyone at AglieFever

      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

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      Jordan L

      Gen AI Engineer

      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

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      Harold Timber

      Product Manager

      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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      Richard Ladley

      Senior Prompt Engineer

      Frequently Asked Questions

      1. 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.

      2. 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.

      3. 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.

      4. 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.

      5. 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:

      1. Research and present on a specific FM, analyzing its architecture, capabilities, and limitations.
      2. Finetune a pre-trained LLM on a specific dataset for a chosen task such as sentimental analysis, question answering, and more.
      3. 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.
      4. Project on building vector database.
      6. 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.

      7. 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.

      8. 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.

      9. 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.

      10. 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.

      11. 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:

      1. Tech Enthusiasts: Those fascinated by emerging technologies and eager to understand how generative AI is shaping various industries.
      2. 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.
      3. Developers and Engineers: Professionals seeking to integrate advanced AI solutions into their projects or enhance their existing skill set with cutting-edge AI techniques.
      4. 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.
      5. Product Managers and Innovators: Professionals interested in leveraging generative AI to create new products, services, or solutions in their respective industries.
      6. Entrepreneurs and Startups: Individuals looking to understand how generative AI can drive innovation and competitive advantage in their ventures.
      7. 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.

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