Learn the basics of AI, its history, and real-world applications. Understand how AI is transforming industries.\r\n\r\n
Hands-on exploration of AI-powered search engines (Google Bard, Perplexity AI, and ChatGPT).\r\n\r\n
Learn how to use AI tools for generating creative content.
Create a blog post or marketing ad using AI.
Use Grammarly or QuillBot to refine content.
Leverage AI tools for creating visuals and graphics.
Create an AI-generated poster or logo.
Use Canva’s Magic Studio for quick design.
Use AI for speech-to-text and text-to-speech conversion.
Use Otter.ai to transcribe a meeting.
Generate a professional voiceover using Play.ht.
Boost productivity using AI automation tools.
Use Notion AI to generate meeting notes.
Create an AI-powered presentation using Tome.app.
Learn how to use AI for analyzing and visualizing data.
Use Excel Copilot to generate insights.
Create a data visualization using Tableau GPT.
Leverage AI in communication and team collaboration.
Use Zoom AI Companion to summarize a meeting.
Test Krisp.ai for noise cancellation.
Use AI for marketing automation and analytics.
Create an AI-powered ad copy using Jasper.ai.
Use Surfer SEO to optimize a blog post.
Learn how to automate repetitive tasks using AI.
Automate email responses using Zapier.
Create an AI-powered workflow automation.
Learn about the ethical use of AI and its limitations.
Case study on ethical AI usage.
Discussion on AI regulations and guidelines.
Explore the core components of our AI training program.
Key Concepts: AI vs. Machine Learning vs. Deep Learning
Types of AI: Narrow AI, General AI, Superintelligent AI
Key Terminologies: Algorithms, Data, Models, Training
Supervised Learning, Unsupervised Learning, Reinforcement Learning
Key Algorithms: Linear Regression, Decision Trees, k-Nearest Neighbors, Neural Networks
Process: Data Collection & Preparation, Feature Engineering, Model Selection & Training, Evaluation & Optimization
Python Libraries: Pandas, NumPy, Matplotlib
Data Visualization: Tableau, Power BI
Google Colab, Microsoft Azure, Amazon SageMaker
Healthcare: Diagnostics, Drug Discovery
Finance: Fraud Detection, Algorithmic Trading
Retail: Personalized Recommendations, Inventory Management
Manufacturing: Predictive Maintenance, Quality Control
Bias in AI: Privacy Concerns
Accountability and Transparency
Regulatory Frameworks
Google Colab, Microsoft Azure, Amazon SageMaker
Writing and Running Python Code
Introduction to Jupyter Notebooks
Building a Machine Learning Model: Dataset Selection (e.g., Kaggle), Training with Scikit-learn
Deep Learning Project: Image Classification with TensorFlow, Sentiment Analysis with NLP
Quizzes: At the end of each module
Capstone Project: Build an AI solution to a real-world problem
Certification: Awarded on successful completion
Google Colab, Microsoft Azure, Amazon SageMaker
Structure: Neurons, Layers, Activation Functions
Types of Networks: CNNs, RNNs, GANs, Transformers
Frameworks: TensorFlow, PyTorch, Keras
Email: info@skillexcellent.com | Phone: +91 8953143537
Visit our website: skillexcellent.com
