AI Engineer

Special Certified Program

Master AI with Hands-on Training and Real-World Projects

Gain expertise in Artificial Intelligence with Krify's comprehensive program, mastering essential tools like Python, Flask, NumPy, Pandas, TensorFlow, PyTorch, and LangChain.

AI & ML Tools Covered

Master top AI & ML tools to analyze data, build models, and deploy smart applications. Get hands-on experience with industry-leading frameworks.

Python

A beginner-friendly language for AI and data science with strong library support

NumPy

A key library for numerical computing and data manipulation

Pandas

Helps efficiently clean, transform, and analyze real-world datasets

Matplotlib

Enables data visualization to interpret trends and insights

Seaborn

Simplifies statistical data visualization with professional charts

Scikit-learn

Enables data visualization to interpret trends and insights

TensorFlow

Supports scalable deep learning and AI model deployment

pytorch

A research-friendly framework for deep learning experimentation

ChatGPT / OpenAI API

Powers AI chatbots and automation

Scipy

Offers advanced tools for scientific computing and optimization

LangChain

Helps create AI-powered applications using large language models

Flask

Teaches how to deploy machine learning models as web APIs

Why Get AI Engineer Certification from Krify?

Career Support Program

  • Resume Buildiing Sessions
  • Mock Interviews
  • Presentation skills
  • Hackathon & Competitive AI Coding Prep
  • One-on-One Mentorship
  • LinkedIn & Networking Strategies

What Roles Can an AI Engineer Professionals Pursue?

Machine Learning Engineer

Develops and fine-tunes ML models and algorithms for real-world applications. Works with large datasets, feature engineering, model training, and deployment using frameworks like Scikit-learn, TensorFlow, or PyTorch.

AI Research Scientist

Focuses on cutting-edge AI advancements, designing new algorithms, models, and AI architectures. Often works in academia, research labs, or tech companies exploring AI innovations.

NLP Engineer

Works with text and speech-based AI models, including chatbots, sentiment analysis, language translation, and speech recognition using NLP libraries like spaCy, NLTK, and Hugging Face Transformers.

AI Solutions Architect

Designs and implements end-to-end AI solutions for businesses, integrating AI models into enterprise systems while ensuring scalability, security, and performance.

AI/ML DevOps Engineer

Focuses on deploying, automating, and managing AI models in production. Works with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and MLOps to ensure scalability and reliability

Get Certified

Earn your AI certification from Krify and accelerate your career! Gain hands-on experience with cutting-edge technologies, making you ready for your career in AI, Data Science, and Machine Learning roles.

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Unlock Your Potential and Step Into a Rewarding Career as an AI Engineer!

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