Generative AI for Enterprises

BY
Boston Institute of Analytics

Equips developers and data scientists with hands-on experience in integrating Generative AI into existing products and creating AI-powered products.

Mode

Part time, Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

The Generative AI for Enterprises course is being offered by the Boston Institute of Analytics (BIA). This Generative AI for Enterprises course is designed for professionals and businesses seeking to leverage the transformative power of generative AI in real-world enterprise scenarios. This Generative AI for Enterprises course goes beyond theory by combining technical expertise with business applications, equipping participants to implement AI driven strategies that enhance productivity, innovation and decision making across industries. The participants will explore the fundamentals of generative AI models, ethical AI practices, and practical applications in enterprise environments.

The highlights

  • Expert-led sessions with global AI practitioners
  • Hands-on learning with enterprise-focused case studies
  • Practical applications of generative AI in business workflows
  • Real-time projects for industry readiness
  • 24/7 technical support for learners
  • Networking with AI and enterprise professionals
  • Placement assistance and career guidance

Program offerings

  • Real-world projects
  • Expert instructors
  • Peer & alumni community access
  • Doubt clearing sessions
  • Case studies

Course and certificate fees

certificate availability

Yes

certificate providing authority

Boston Institute of Analytics

Who it is for

The target audience for the Generative AI for Enterprises course includes:

What you will learn

Database knowledge Knowledge of artificial intelligence

In this Generative AI for Enterprises course, the participants will develop skills to integrate advanced AI technologies into existing business infrastructures. The participants will understand how generative AI transforms workflows, improves efficiency and drives creative problem solving across sectors like finance, healthcare, manufacturing and retail.

Through interactive lectures, real-world projects, and case study analysis, the participants  will master the ability to design and implement enterprise-grade AI strategies. The participants  will also gain expertise in evaluating AI models for scalability, performance, and ethical implications.

The syllabus

Generative AI for Enterprises: Orientation

Course Expectations and Structure
  • Overview of the Course Modules 
  • Brief on Assignments and Assessments

Fundamentals and Practical Applications

Introduction to Generative AI, Transformers & LLMs
  • Overview, Key Features & Application of GenAI
  • Ethical considerations and potential biases in generative AI
  • Introduction to Transformers & Self-Attention Mechanism
  • Overview & Key Components of Transformers Architecture
  • Large Language Models (LLMs) & their use cases
  • Types of Transformers Model
  • Exploring Huggingface Community and Setting Up Environment
  • Practical Exercise: Implementing Text Generation, Summarization & Translation using GPT2 and Flan-T5 Model & Experimenting
Training and Fine-tuning LLMs
  • Fine-tuning LLMs for Specific Tasks
  • Dataset preparation and pre-processing techniques
  • Fine-tuning hyperparameter optimization
  • Evaluating the performance of fine-tuned models using metrics like BLEU and ROUGE
  • Introduction to RAG for fine-tuning
  • Practical Exercise 1: Training/Fine Tuning GPT2 on Indian Food Recipe Dataset and Evaluating on BLEU & ROUGE Score
  • Practical Exercise 2: Training /Fine Tuning Flan-T5 on Dialogue on knkarthick dialogsum Dataset and Evaluating
Advanced Fine-tuning and Model Evaluation
  • Fine-tuning for Precision
  • Conditional text generation based on specific contexts
  • Text-to-Speech (TTS) and Speech-to-Text (STT) integration with Hugging Face
  • Advanced Model Evaluation Techniques: PEFT & LoRA
  • Qualitative analysis of generated text and summarization outputs
  • Human Evaluation in Generative Models
  • Practical Exercise: Implementing PEFT & LoRA on Indian Food Recipe Trained GPT 2 model & integrating with TTS & STT

Real-World Applications and Future Trends

Future of Generative AI
  • Current trends in Generative AI
  • Future scope and advancements in Generative AI

Capstone Project

Capstone Project Allocation, Mentorship and Presentation
  • Project and Dataset Assignment by Capstone Mentor
  • Orientation Session by Capstone Mentor – Project Expectations
  • Mentorship Session by Capstone Mentor – Doubt Resolutions
  • Project Presentation

Admission details

Follow the steps below to join the Generative AI for Enterprises course.

Step 1 - Click on the link below: https://bostoninstituteofanalytics.org/generative-ai-for-enterprises/

Step 2 - Click on “Enquire Now”. Submit the form and your contact details and a representative will contact you.

Step 3 - Once the fees are paid, you are enrolled in the Generative AI for Enterprises course.

How it helps

Earning the Generative AI for Enterprises course certificate, demonstrates expertise in applying AI to enterprise-scale challenges. It validates participants' ability to design AI-driven business solutions, making participants a sought-after professional in industries adopting AI at scale. Certification also enhances participants’ career opportunities, salary potential, and recognition in the enterprise AI ecosystem.

FAQs

Do I need prior coding experience?

Basic knowledge is helpful but not mandatory.

Is placement support provided?

 Yes, BIA offers placement assistance and career guidance to all participants.

Will I receive a certificate after certification?

 Yes, The participants will get a certificate from BIA.

What kind of projects will I work on?

The participants will work on real world enterprise AI projects across industries.

Is this certification recognized?

Yes, BIA’s certificate is recognised globally.

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