Industrial AIoT Bootcamp
Cohort One | Generative AI
A FREE Gateway to a Future in Technology!
Gain skills and experience to specialize in this rapidly growing data science field with the live online Artificial Intelligence & Machine Learning Bootcamp–all in 12 weeks part-time.
For anyone looking to BootCamp program
Seniors (Experienced Professionals)
Individuals with several years
of professional experience.
MSc students, etc
Professionals from
Different Fields
Diverse industry professionals
seeking to integrate AI and
IoT skills.
Those in the
Idea Stage
Entrepreneurs and innovators
looking to bring ideas
to life.
IT and
Tech Enthusiasts
Individuals passionate
about technology, including
IT professionals and hobbyists.
By joining the AIoT Bootcamp, you open doors to a world of possibilities. Here's what you gain
Program Highlights
Target Audience

Software & Embedded System Professionals from Different Fields who are looking to switch careers to AI field or enhance their AI related skills.
Curriculum Design

Our carefully crafted curriculum focuses on the practical applications of AI and IoT, ensuring you gain skills that are immediately applicable in the workforce.
Hands-on Learning

Learn directly from our seasoned experts who have extensive experience in AI and IoT. Benefit from their insights, guidance, and industry knowledge.
About
Industrial AIoT Bootcamp | Cohort 01 - Generative AI
This module offers an in-depth exploration of Generative AI and Large Language Models (LLMs), including their architecture, applications, ethical considerations, and the latest developments in the field. Candidates will gain both theoretical and practical knowledge in working with Generative AI and LLMs and understand their significance in various domains and acquire hands-on experience with real datasets from real industrial projects.
Module Plans for Cohort 1
Cohort 01 | Week 01
Lecture :
Generative AI Fundamentals
Hands-on :
- Hands-on session on basic image generation using VAEs
- Assignment: Implementing simple image generation models
Cohort 01 | Week 02
Lecture :
Techniques in Image Generation
Hands-on :
- Selecting and understanding appropriate StyleGAN models
- Fine-tuning a pre-trained StyleGAN model
- Performance evaluation and generating diverse faces
Cohort 01 | Week 03
Lecture :
Application- Faces from Real Images
Hands-on :
- Generating faces from real images using GANs
Cohort 01 | Week 04
Lecture :
Transformers and Pre-trained Models
Quiz
Cohort 01 | Week 05
Lecture :
Introduction to Large Language Models (LLMs)
Hands-on :
- Session on basic language modelling
Cohort 01 | Week 06
Lecture :
Prompt engineering
Hands-on :
- Hands-on exercises on prompt engineering
- Project assignment: Creating custom prompts for LLMs
Cohort 01 | Week 07
Lecture :
Fine-tuning strategies
Hands-on :
- Fine-tuning LLMs for specific applications
- Assignment: Implementing and evaluating fine-tuning strategies for LLMs
Cohort 01 | Week 08
Lecture :
Retrieval-Augmented Generation
Hands-on :
- Session on combining retrieval and LLMs
- Assignment: Integrating retrieval techniques in language models
Cohort 01 | Week 09-12
Capstone Project (Industrial Scale Project)
Cohort 01 | Week 01
Lecture :
Generative AI Fundamentals
Hands-on :
- Hands-on session on basic image generation using VAEs
- Assignment: Implementing simple image generation models
Cohort 01 | Week 02
Lecture :
Techniques in Image Generation
Hands-on :
- Selecting and understanding appropriate StyleGAN models
- Fine-tuning a pre-trained StyleGAN model
- Performance evaluation and generating diverse faces
Cohort 01 | Week 03
Lecture :
Application- Faces from Real Images
Hands-on :
- Generating faces from real images using GANs
Cohort 01 | Week 04
Lecture :
Transformers and Pre-trained Models
Quiz
Cohort 01 | Week 05
Lecture :
Introduction to Large Language Models (LLMs)
Hands-on :
- Session on basic language modelling
Cohort 01 | Week 06
Lecture :
Prompt engineering
Hands-on :
- Hands-on exercises on prompt engineering
- Project assignment: Creating custom prompts for LLMs
Cohort 01 | Week 07
Lecture :
Fine-tuning strategies
Hands-on :
- Fine-tuning LLMs for specific applications
- Assignment: Implementing and evaluating fine-tuning strategies for LLMs
Cohort 01 | Week 08
Lecture :
Retrieval-Augmented Generation
Hands-on :
- Session on combining retrieval and LLMs
- Assignment: Integrating retrieval techniques in language models
Cohort 01 | Week 09-12
Capstone Project (Industrial Scale Project)
Expected Outcomes of Cohort 1
Comprehensive understanding of Generative AI.
Proficiency in applying Generative AI concepts to real-world scenarios.
Expertise in GANs and Large Language Models
Access to Industry Expertise in AI
Confidence for AI related Career Transformation
Networking opportunities with industry experts.
Completion Certificate
Prerequisites for Cohort 1
Graduated in Computer Science Engineering or Electronic and Electrical Engineering or similar Specializations
Having minimum one year of industry experience in Software or Embedded Developments
Having good knowledge of the basics of Machine Learning or reading for a postgraduate course in ML
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Frequently Asked Questions
Have questions about how our solutions work or how they can support your daily operations? This FAQ section provides simple and clear answers to help you understand everything you need in one place.
Most bootcamps offer an intensive learning experience that packs a lot of information into 12 short weeks. You can attend an AI bootcamp part time via online.
The Bootcamp is 100% industrial Application oriented. Will be very differnet from a conventional course module.
The courses will be conducted over dedicated moodle LMS platform.
The bootcape provide all nessarey industrial skill set required to develop a Industrail standered Ai and IoT Project in the end.
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