Advanced AI & Machine Learning Course

Take Control Change Your Career

Course overview

Our program focuses on teaching cutting-edge technologies in AI software design and achieving your dream of securing a high-paid job. we carefully craft up-to-date curricula by collaborating with industries that focus on AI design and development. we prioritize building solid foundations for our students. our structured foundation training in Linux OS and programming methodology, empower you with the ability to create and maintain AI-enabled web applications throughout its life cycle. our doors are open to any candidate regardless of their educational background who can solve our basic entrance exam.

  • $Achieve a promising career in AI by Building a solid technical foundation
  • $Solve and deploy real world scenarios using industrial-grade tools
  • $100% Placement Assistance and post-course support

Our course at a glance

    • Cutting-edge technologies in AI software design
    • Up-to-date curricula by collaborating with industries
    • To build solid foundations of AI based software development.
    • Structured foundation training in Linux OS and programming methodology
    • Successfully completed candidates will be able to create and maintain AI-enabled web applications throughout their life cycle.
    • Any candidate regardless of their educational background who can solve our basic entrance exam can join our program

Key Features

Learn from Scratch

Hands-on Training

Diverse AI Technique

Personal Assistance

Real Time Projects

Assessment and Feedback

Interaction with Industry Expert

Industry Relevance Tools

Additional Resources and Support

Curriculum details

1. Linux

  • Command Line Interface (CLI)
  • Package Management
  • Linux Text Editors
  • Shell Scripting
  • File Permissions and Security
  • Linux Servers
  • DBMS
  • Linux Process Management
  • Linux Containerization

2. Python

    • foundations
    • data structures and algorithms
    • system programming
    • Networking
    • Python and DBMS

2. AI

    • Data Acquisition
    • Data Cleaning and Preprocessing
    • Exploratory Data Analysis (EDA)
    • Data  Visualization
    • Machine Learning
    • Deep learning

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