Comprehensive AI (40 Hours)
Track C
End-to-End AI Training for Technical Professionals
This hands-on program is designed for developers, engineers, and data professionals ready to dive deep into AI. Learn to build, train, evaluate, and deploy machine learning and deep learning models using real-world tools and techniques. From theory to deployment, this track delivers full-stack AI proficiency.
Join the most didactic, transparent, and useful AI platform.
Track C: Comprehensive AI (40 Hours)
Build a solid base in AI/ML concepts and tools.
Overview of AI/ML concepts and real-world applications
Python basics for data and AI workflows
Structured vs. unstructured data fundamentals
Work with real data and build your first models.
Data preprocessing and transformation
Intro to supervised and unsupervised learning
Using scikit-learn for classification and clustering
Dive deeper into predictive modeling and performance metrics.
Building regression models (linear, logistic)
Model training and validation
Evaluation metrics: accuracy, precision, recall, F1 score
Understand the fundamentals of neural networks.
Basics of deep learning and artificial neural networks
Activation functions and backpropagation
Building simple neural networks with TensorFlow or Keras
Build a solid base in AI/ML concepts and tools.
Overview of AI/ML concepts and real-world applications
Python basics for data and AI workflows
Structured vs. unstructured data fundamentals
Work with real data and build your first models.
Data preprocessing and transformation
Intro to supervised and unsupervised learning
Using scikit-learn for classification and clustering
Dive deeper into predictive modeling and performance metrics.
Building regression models (linear, logistic)
Model training and validation
Evaluation metrics: accuracy, precision, recall, F1 score
Understand the fundamentals of neural networks.
Basics of deep learning and artificial neural networks
Activation functions and backpropagation
Building simple neural networks with TensorFlow or Keras
Work with images and text using specialized AI techniques.
Image classification with CNNs
Text analysis and sentiment classification
Using pre-trained models (e.g., Hugging Face, TensorFlow Hub)
Improve models and make their decisions more transparent.
Hyperparameter tuning (GridSearch, RandomSearch)
Intro to model interpretability with SHAP and LIME
Handling overfitting with regularization
Take your models from notebook to production-ready.
Building APIs with Flask or FastAPI
Model versioning and deployment workflows
Basics of deploying to cloud platforms (AWS, GCP, Azure)
Apply everything you've learned in a real-world AI project.
Capstone project: end-to-end AI system (build, test, deploy)
Present your solution and receive technical feedback
Career guidance and resources for continued AI mastery
Work with images and text using specialized AI techniques.
Image classification with CNNs
Text analysis and sentiment classification
Using pre-trained models (e.g., Hugging Face, TensorFlow Hub)
Improve models and make their decisions more transparent.
Hyperparameter tuning (GridSearch, RandomSearch)
Intro to model interpretability with SHAP and LIME
Handling overfitting with regularization
Take your models from notebook to production-ready.
Building APIs with Flask or FastAPI
Model versioning and deployment workflows
Basics of deploying to cloud platforms (AWS, GCP, Azure)
Apply everything you've learned in a real-world AI project.
Capstone project: end-to-end AI system (build, test, deploy)
Present your solution and receive technical feedback
Career guidance and resources for continued AI mastery
Email Address
info@cognifyXAI.com
Phone Numbers
Mobile : 214 609 9035
Address Location
1601 Elm Street Dallas Texas 75201
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