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Course Highlights

  • Master Core & Advanced AI - Build a strong foundation in Artificial Intelligence, Machine Learning, and Data Science, progressing to Generative AI, Computer Vision, Reinforcement Learning, and MLOps.
  • Hands-on, Industry-led Learning - Work with real tools such as Python, NumPy, Pandas, FastAPI, Docker, MLflow, HuggingFace, LangChain, YOLOv8, and Streamlit.
  • Project-centric Approach - Apply knowledge through live projects, capstones, and real-world simulations aligned with industry needs.
  • Career Readiness Pathway - Gain access to mock interviews, resume building, LinkedIn optimization, and career coaching via the PrepFree platform.
  • Guaranteed Industry Exposure – Internship opportunities and placement support through Unlox’s 100+ industry partners, ensuring students transition smoothly into AI-driven careers.

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Badge Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the UNLOX ARTIFICIAL INTELLIGENCE Course?

  • Understand core AI, ML, and Data Science concepts
  • Gain expertise in Python programming for AI
  • Build and deploy ML & AI models in real-world scenarios
  • Master Generative AI, LLMs, and Prompt Engineering
  • Apply AI in healthcare, finance, cybersecurity, and automation
  • Develop a capstone project and present it to industry jury
  • Prepare for interviews and career opportunities via PrepFree
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Reasons to enrol

Why should you take the UNLOX ARTIFICIAL INTELLIGENCE Course?

  • Comprehensive 8-week AI curriculum aligned with industry standards
  • Access to live projects and hands-on learning
  • Generative AI & LLMs modules (ChatGPT, LangChain, HuggingFace)
  • Career readiness support – resume building, LinkedIn optimization, mock interviews
  • Guaranteed career opportunities via Job Bridge + Industry Partners
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Ideal Participants

Who should take the UNLOX ARTIFICIAL INTELLIGENCE Course?

  • Undergraduate/Graduate students (Engineering, Computer Science, Electronics, Data Science, AI/ML)
  • Freshers aiming for AI/ML roles
  • Working professionals looking to transition into AI-driven careers
  • Entrepreneurs & Innovators exploring AI-based startups
  • Anyone passionate about AI applications in real-world industries
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Curriculum

Curriculum

  • Week 1: Python for AI & Foundations - Python, Data Structures, NumPy, Pandas, Data Cleaning
  • Week 2: ML Models & Deployment - Regression, Decision Trees, Boosting, FastAPI + Docker
  • Week 3: Generative AI & LLMs - Transformers, Prompt Engineering, LangChain, Fine-Tuning
  • Week 4: Computer Vision & Real-Time AI - CNNs, YOLOv8, Deepfake Detection, Streamlit
  • Week 5: Reinforcement Learning - Q-Learning, DQNs, PPO, Gaming & Finance Bots
  • Week 6: MLOps & Cloud Deployment - MLflow, Kubernetes, CI/CD, Drift Detection
  • Week 7: Applied AI - AI in Healthcare, Finance, Cybersecurity, No-Code AI
  • Week 8: Career Readiness - Resume, Mock Interviews, Capstone Project & Demo Day
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skills and tools

Tools you will learn in the UNLOX ARTIFICIAL INTELLIGENCE Course

  • Programming & Data: Python, NumPy, Pandas
  • ML & AI: Scikit-Learn, XGBoost, CatBoost, HuggingFace, LangChain
  • Generative AI: GPT models, RAG, Fine-Tuning
  • Computer Vision: OpenCV, YOLOv8, Streamlit
  • MLOps: FastAPI, Docker, Kubernetes, MLflow, GitHub Actions
  • Career Skills: STAR Method, Resume Building, Mock Interviews
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