NextBridge in AI & ML Engineering

Course Description

You will gain hands-on expertise in fine-tuning large language models (LLMs) and learn how to optimize AI systems for real-world applications. This course will equip you with cutting-edge skills that are highly sought after by top employers.

Master the future of AI with the NextBridge Certificate Program in AI & ML Engineering! Gain hands-on expertise in machine learning, deep learning, neural networks, natural language processing, and generative AI workflows using tools like TensorFlow, PyTorch, and IBM Watson.

Program Snapshot

Intended Audience

• Working professionals, career changers
• Software engineers & developers – Looking to integrate AI/ML into applications and build intelligent systems.
• Data scientists & analysts – Seeking advanced AI/ML techniques to enhance predictive analytics and data-driven decision-making.
• Machine learning engineers – Expanding expertise in model training, deep learning, and AI deployment.
• Cloud & MLOps engineers – Aiming to master AI model automation, CI/CD, and cloud scaling for AI applications.
• IT & DevOps professionals – Transitioning into AI-driven automation and scalable ML pipelines.
• Business intelligence (BI) professionals – Leveraging AI for enhanced data analysis and business insights.
• AI product managers – Understanding AI/ML model development to drive AI-powered product innovation.

Prerequisites

• Minimum education: 10th/12th pass, ITI, or Diploma
• AI Placement Entry Assessment
• Basic Python programming – Familiarity with syntax, functions, and data structures is recommended.
• Fundamental math & statistics – Understanding of algebra, probability, and basic statistics.
• Basic SQL knowledge (optional) – Experience with databases and writing queries can be beneficial.

Competencies You’ll Gain

• Technical + soft skills developed during the course
• Data Handling with Python, Pandas, NumPy
• SQL Query Optimization for AI Pipelines
• Exploratory Data Analysis (EDA) & Feature Engineering
• AI Model Evaluation (SHAP, LIME, Fairness in AI)
• Training & Evaluating Supervised & Unsupervised ML Models
• Model Interpretability with SHAP & LIME
• Understanding & Fixing AI Model Hallucinations
• Automating ML Pipelines for Deployment
• Understanding Transformers & Attention Mechanisms (BERT, GPT)
• Training CNNs & Vision Transformers (CLIP, DINO)
• Optimizing AI Models (Quantization, Pruning)
• Deploying AI Models with MLOps
• Deploying AI Models on AWS, Azure, Google Cloud
• Automating AI Pipelines with CI/CD
• Monitoring AI Models for Performance & Drift
• Fine-Tuning Large Language Models (LLMs)
• Implementing Retrieval-Augmented Generation (RAG)
• Developing AI-Powered Assistants with LangChain
• Generating AI-Based Content (Text, Images)
• Understanding AI Agents & Task Automation
• Using AutoGPT & CrewAI for AI Orchestration
• Developing AI Workflows for Research & Business Applications

Key Learning Outcomes

• Train, evaluate, and deploy machine learning models
• Use and deploy NumPy, Pandas, and Matplotlib for data processing
• Write efficient queries for feature engineering
• Develop, clean, visualize, and transform datasets
• Implement regression, classification, clustering, and neural networks
• Create automated AI workflows and scale models on AWS/GCP

Included Topics

• Advanced Fine-Tuning for Large Language Models (LLMs)
• AI Application Project with RAG and LangChain
• AI Applications with Python and Flask
• Artificial Intelligence Fundamentals
• Building AI Agents with RAG and LangChain
• Developing Generative AI Applications using Python
• Fine-Tuning Transformers and Gen AI Models
• Guide to Generative AI and LLM Architectures
• Prompt Engineering Essentials
• Python Fundamentals for Beginners
• Python for Data Analysis
• Machine Learning Fundamentals with Python
• Fundamentals of Deep Learning using Keras
• Generative AI Models for Natural Language (NLP & NLU)
• Transformers for Generative AI Language Models
• Deep Learning with TensorFlow

Certifications Available

• The Bridge Diploma
• National Skill Development Corporation (NSDC), Sector Skill Council (SSC) certifications
• IBM Professional Certificate in Generative AI Engineering
• The Bridge NextBridge Certificate

Instructor

• XYZ

Career Opportunities and Salary Ranges