AI Tools Course

AI Tools Course

AI Tools

About the Course

This course is designed to introduce participants to a variety of AI tools and platforms, providing practical knowledge and hands-on experience.

Duration

40 Hours

Level

basic to Advanced

Pre-Requisite

None

Certificate

Printed & Pdf

Course

IELTS

Duration

40 Hours

The course covers tools for machine learning, deep learning, natural language processing, computer vision, and data visualization, enabling participants to leverage these tools for developing AI solutions.

Course Highlights

Flexible Timing

Flexible Timing The Flexible Working Hours Policy allows students of a any category.

Individual Attention

Individual Attention We are giving individual learning & attention of every students.

Affordable Fees

Our fee structure is very less compare to other training centre.

Expert & Qualified Trainers

Learn the best from the industry experts.

Course Duration

Full Course: 30 Hours
FastTrack Course: 20 Hours

Course Modules

AI Tools Course

    • Overview of AI Tools: Categories of AI Tools, Criteria for Selecting AI Tools.
    • Setting Up Your Development Environment: Required Software and Hardware, Working with IDEs and Notebooks.
    • Scikit-Learn: Introduction, Basic Features and Functions, Hands-On Projects.
    • TensorFlow and Keras: Introduction, Building Neural Networks, Advanced Features.
    • PyTorch: Introduction, Building and Training Models, Advanced Applications.
    • Deep Learning Frameworks: Comparison of Frameworks, Selecting the Right Framework.
    • Keras for Deep Learning: Sequential and Functional API, Training and Tuning Models.
    • OpenAI Gym: Introduction, Reinforcement Learning Environments, Hands-On Projects.
    • NLTK (Natural Language Toolkit): Introduction, Text Processing and Analysis, Building NLP Pipelines.
    • spaCy: Introduction, Advanced NLP Tasks, Hands-On Projects.
    • Transformers (Hugging Face): Introduction, Pre-trained Models, Custom NLP Applications.
    • OpenCV: Introduction, Basic Image Processing, Advanced Computer Vision.
    • TensorFlow and PyTorch for Computer Vision: Image Classification and Segmentation, Transfer Learning, Hands-On Projects.
    • Matplotlib and Seaborn: Introduction, Creating Plots and Charts, Customizing Visualizations.
    • Plotly: Introduction, Interactive Visualizations, Hands-On Projects.
    • Tableau: Introduction, Creating Dashboards, Data Integration and Analysis.
    • Google AutoML: Introduction, Automated Model Building, Evaluation and Deployment.
    • H2O.ai: Introduction, AutoML Features, Hands-On Projects.
    • Google Cloud AI: Introduction, Using AI Services, Deploying AI Solutions.
    • AWS AI Services: Introduction, AI and Machine Learning Services, Hands-On Projects.
    • Azure AI: Introduction, AI and Machine Learning Services, Deploying AI Solutions.
    • Ethical Use of AI Tools: Bias and Fairness, Privacy and Security.
    • Best Practices: Effective Tool Usage, AI Project Management.

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