The Bridge

Full Program

AI & ML Engineering

10 Months · 255 Hours · On-Campus · Hybrid · Self-Paced

Build Intelligent Systems That Shape the Future

Develop hands-on expertise in fine-tuning large language models and learn how to optimize AI systems for real-world applications across healthcare, finance, manufacturing, and education.

Program Overview

What You'll Learn

Who This Program Is For

This program covers the complete AI/ML engineering stack - from Python fundamentals and data analysis through advanced deep learning, generative AI architectures, and production-grade MLOps deployment. You will train, evaluate, and deploy machine learning models, and create automated AI workflows at scale on AWS, Azure, and Google Cloud.

Graduates leave with practical experience in building LLM-powered applications using LangChain, RAG pipelines, and agent frameworks like CrewAI - the skills organizations are actively hiring for today.

  • Aspiring AI/ML engineers and data scientists
  • Software developers looking to specialize in AI
  • Recent graduates in CS, engineering, or mathematics
  • Professionals transitioning into AI roles
  • Students with basic Python and math foundations

Program details

Duration
10 Months · 255 Hours
Delivery
On-Campus · Hybrid · Self-Paced
Eligibility
10th / 12th Pass, ITI or Diploma
Assessment
AI Placement Entry Assessment
Credentials
Certificate · Diploma · B.Voc · Advanced Diploma
Language
English + Regional Language
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Curriculum

What You'll Study

A structured, hands-on curriculum designed around the skills employers need - built with industry input and continuously updated.

  1. 01

    Python Fundamentals & Data Analysis

    Core Python, Pandas, NumPy, data wrangling, and exploratory data analysis with real datasets.

  2. 02

    Machine Learning Fundamentals

    Supervised and unsupervised learning, model evaluation, and interpretability with SHAP and LIME.

  3. 03

    Deep Learning with Keras & TensorFlow

    Neural network architectures, CNNs, training pipelines, and model optimization techniques.

  4. 04

    Advanced Fine-Tuning for LLMs

    Fine-tuning BERT, GPT, and other transformer models; model quantization and pruning for deployment.

  5. 05

    Generative AI Models & Architectures

    GANs, diffusion models, multimodal AI, and vision transformers for real-world generation tasks.

  6. 06

    Prompt Engineering Essentials

    Crafting effective prompts, chain-of-thought techniques, and prompt optimization for production.

  7. 07

    Transformers for Generative AI

    In-depth study of the transformer architecture, attention mechanisms, and state-of-the-art LLMs.

  8. 08

    AI Applications with Python & Flask

    Building and deploying REST APIs for AI models using Python, Flask, and cloud infrastructure.

  9. 09

    AI Agents with RAG & LangChain

    Retrieval-Augmented Generation, LangChain pipelines, AutoGPT, and CrewAI multi-agent orchestration.

Skills & Tools

Technologies You'll Master

Industry-standard tools and platforms used throughout the program - the same stack employers expect on day one.

TensorFlow · PyTorch · Keras · LangChain · IBM Watson · Hugging Face · AWS SageMaker · Azure ML · Google Cloud AI · FastAPI

Python & Pandas · SQL Optimization · Model Interpretability · CNN & Vision Models · Transformer Architecture · MLOps Pipelines · CI/CD for AI · LLM Fine-Tuning · RAG Systems · Cloud Deployment

Credentials

Certifications You'll Earn

Globally recognized credentials that verify your skills to employers - included as part of your program.

IBM Professional Certificate

Generative AI Engineering Industry-recognized certification from IBM covering the full generative AI engineering stack.

The Bridge Diploma

NextBridge Certificate Credential from The Bridge validating your NextBridge program completion and competencies.

NSDC / SSC

Government-recognized credentials from the National Skill Development Corporation of India.

Career Outcomes

Where You'll Go

AI & ML Engineering is among the fastest-growing fields globally. India's AI talent demand is projected to grow over 40% annually, with premium salaries for engineers who can deploy production-grade LLM and MLOps systems.

Salary data reflects current market ranges in India (LPA = Lakhs Per Annum). Ranges vary based on experience, location, company size, and specialization depth.

RoleIndia salary range
AI Systems Architect₹12 – ₹30 LPA
Cloud AI Specialist₹10 – ₹25 LPA
Generative AI Developer₹8 – ₹25 LPA
AI / ML Engineer₹9 – ₹20 LPA
AI-Powered Solutions Developer₹8 – ₹20 LPA
Computer Vision Engineer₹7 – ₹20 LPA
AI Automation Specialist₹6 – ₹18 LPA
Data Scientist₹7 – ₹14 LPA

Recognition and credit

Programs are delivered in India by The Bridge Education Services. Certificates and diplomas awarded by The Bridge are professional credentials and are not, on their own, degrees recognised under Indian regulations or aligned to the NSQF. Where a program carries credit from a partner university abroad, that credit is recognised by the awarding partner; its acceptance by any other institution is at that institution's discretion. Credit transfer pathways are offered in good faith and are subject to the partner university's admission requirements at the time of transfer. Ask an advisor for the current written terms before relying on any pathway.

Fees, refunds and cancellation →

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Take the first step toward a globally connected career. Speak with an advisor or apply directly - our team will guide you through every step of the process.