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LearnerBox Infosystems LLP

AI Engineer Program

Build practical AI engineering skills for modern AI careers.

PROGRAM 2

Professional AI Engineering Pathway

The AI Engineer Program is designed for students, fresh graduates, and job seekers who want to build practical AI skills and prepare for careers in Artificial Intelligence, Machine Learning, Generative AI, and AI Application Development.

Explore Free Track Register for Premium Access

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Technical Career Path

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6 Free Modules

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15 Premium Modules

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Hands-on Projects

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GenAI, RAG & Agents

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Professional Certificate

Program Overview

Learners progress from foundational programming and data analysis to machine learning, Generative AI, RAG systems, AI agents, deployment, and portfolio development.

The program emphasizes hands-on projects, GitHub portfolios, and job-ready skills aligned with current industry requirements.

Who Should Enroll?

  • University students and final-year students
  • Recent graduates
  • Job seekers preparing for AI careers
  • Career changers exploring AI engineering
  • Technical professionals transitioning into AI
  • Aspiring AI developers

Learning Outcomes

By completing this program, learners will be able to:

  • Set up a professional AI development environment
  • Use Git, GitHub, GitHub Copilot, VS Code, and Google Colab
  • Write Python programs and build automation projects
  • Analyze and visualize data using NumPy, Pandas, Matplotlib, and Seaborn
  • Build machine learning and deep learning models
  • Develop Generative AI, RAG, and agentic AI applications
  • Use APIs, vector databases, and modern AI frameworks
  • Deploy AI applications and build a professional portfolio

Free Track: AI Career Starter

The free track helps learners explore AI careers and develop foundational technical skills before committing to a full AI engineering pathway.

Module 1: Professional AI Development Setup

AI career paths, industry overview, VS Code, Google Colab, Git, GitHub, portfolio creation, and GitHub Copilot.

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Module 2: Python Essentials

Variables, data types, loops, functions, lists, dictionaries, and a Student Management System project.

Open Module

Module 3: Data Analysis Fundamentals

NumPy, Pandas, data cleaning, data visualization, and public dataset analysis.

Open Module

Module 4: Introduction to AI & Machine Learning

AI fundamentals, machine learning overview, regression, classification, clustering, and a simple prediction model.

Open Module

Module 5: Generative AI Foundations

LLM fundamentals, Prompt engineering, Responsible Generative AI, Ensemble Machine Learning, Deep Learning Fundamentals, and Modern AI Frameworks.

Open Module

Module 6: AI Engineering with RAG & Agents

Build modern AI applications by connecting Large Language Models with databases, retrieval systems, vector search, and intelligent AI agents.

Open Module

Premium Track: Professional AI Engineer Program

The premium track develops job-ready AI engineering skills and helps learners build a professional portfolio suitable for AI Engineer, GenAI Developer, AI Analyst, and ML Engineer positions.

  • Professional development environment
  • Python programming and automation
  • Data analysis and visualization
  • Machine learning and advanced machine learning
  • Deep learning with TensorFlow and Keras
  • SQL for AI and business analytics
  • Generative AI and RAG engineering
  • Agentic AI with LangChain and LangGraph
  • Real-world LLM frameworks including CrewAI, AutoGen, DSPy, and OpenAI Agents SDK
  • API development with FastAPI and AI APIs
  • Deployment, cloud AI, responsible AI, and AI product development

Capstone options include AI Resume Analyzer, AI Interview Coach, Customer Support Agent, Medical Assistant, and AI Research Assistant.

Register for Premium Access

Career Outcomes

Potential roles include:

  • AI Engineer
  • GenAI Developer
  • Machine Learning Engineer - Junior
  • AI Application Developer
  • AI Analyst
  • AI Solutions Associate