AI Tools Course
Work is easy when you have all tools around you!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
3 Hours
Level
basic to Advanced
Pre-Requisite
None
With Certificate
Printed & Pdf
Format
Online or In person
Course
Illustator
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
- Expert Instructors: Learn from experienced industry professionals who bring real-world insights and expertise to the classroom.
- Practical Experience: Engage in hands-on projects and assignments that reflect current industry practices and challenges.
- Latest Tools and Techniques: Get trained on the latest AI tools, functions & capabilities.
- Strategic Insights: Develop a deep understanding of AI tools strategies and how to implement them effectively.
- Industry Trends: Stay updated with the latest trends and best practices in AI tools.
Flexible Timing
The Flexible Working Hours Policy allows students of a any category.
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 Trainer
Learn the best from the industry experts. Our team of experienced
Course Duration
Full Course: 30 Hours
FastTrack Course: 20 Hours
Course Modules
- 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.
Enquire About the Course
Why Choose This Course?
- Comprehensive Coverage of AI Tools and Techniques
- Expert Instructors with Industry Experience
- Hands-On Projects and Real-World Applications
- Access to Latest Tools and Updates
- Certification Preparation and Career Support
Associations and Accreditations
