Applied AI

6 Courses · 85 Lessons
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📘 C1 Introduction to AI 4 Modules · 17 Lessons
▶ M1 What is AI 4
1L1 Defining Artificial Intelligence→ 2L2 History of AI→ 3L3 Types of AI→ 4L4 AI vs Machine Learning vs Deep Learning→
▶ M2 AI Concepts and Terminologies 5
1L1 Machine Learning Fundamentals→ 2L2 Neural Networks and Deep Learning→ 3L3 Natural Language Processing NLP→ 4L4 Computer Vision and Robotics→ 5L5 Key AI Terminologies Glossary→
▶ M3 AI Applications and Use Cases 4
1L1 AI in Healthcare→ 2L2 AI in Finance and Business→ 3L3 AI in Transportation and Autonomous Systems→ 4L4 AI in Entertainment Education and Daily Life→
▶ M4 AI Ethics Bias and Future 4
1L1 AI Ethics and Responsible AI→ 2L2 Bias in AI Systems→ 3L3 AI Governance and Regulations→ 4L4 Future of AI→
📘 C2 Introduction to Generative AI 3 Modules · 12 Lessons
▶ M1 Generative AI Fundamentals 4
1L1 What is Generative AI→ 2L2 Large Language Models LLMs→ 3L3 Foundation Models Ecosystem→ 4L4 Generative AI Capabilities and Outputs→
▶ M2 Generative AI Models and Tools 4
1L1 Text Generation Models and Platforms→ 2L2 Image and Multimodal Generation Tools→ 3L3 AIPowered Development and Productivity Tools→ 4L4 Building with GenAI APIs→
▶ M3 Responsible Generative AI 4
1L1 Hallucinations and Accuracy→ 2L2 Bias Fairness and Inclusivity in GenAI→ 3L3 Copyright IP and Legal Considerations→ 4L4 Safety Guardrails and Responsible Deployment→
📘 C3 Prompt Engineering Basics 3 Modules · 12 Lessons
▶ M1 Introduction to Prompt Engineering 4
1L1 What is Prompt Engineering→ 2L2 How LLMs Process Prompts→ 3L3 Elements of an Effective Prompt→ 4L4 Common Prompting Mistakes and How to Avoid Them→
▶ M2 Prompt Techniques and Patterns 4
1L1 ZeroShot and FewShot Prompting→ 2L2 ChainofThought and Reasoning Prompts→ 3L3 RoleBased and Persona Prompting→ 4L4 Structured Output and Format Control→
▶ M3 Advanced Prompting and Applications 4
1L1 Prompt Chaining and MultiStep Workflows→ 2L2 Iterative Refinement and Prompt Optimization→ 3L3 DomainSpecific Prompt Engineering→ 4L4 Building PromptDriven Applications→
📘 C4 Python for Data Science AI and Development 5 Modules · 20 Lessons
▶ M1 Python Basics 4
1L1 Your First Python Program→ 2L2 Variables and Data Types→ 3L3 Expressions and Operators→ 4L4 String Operations→
▶ M2 Python Data Structures 4
1L1 Lists→ 2L2 Tuples→ 3L3 Dictionaries→ 4L4 Sets→
▶ M3 Python Programming Fundamentals 4
1L1 Conditions and Branching→ 2L2 Loops and Iteration→ 3L3 Functions→ 4L4 Exception Handling and File IO→
▶ M4 Working with Data in Python 4
1L1 NumPy Fundamentals→ 2L2 Pandas Basics Series and DataFrames→ 3L3 Pandas Data Manipulation→ 4L4 Data Visualization Basics→
▶ M5 APIs and Data Collection 4
1L1 Understanding APIs and HTTP→ 2L2 Making API Requests with Python→ 3L3 Web Scraping with Python→ 4L4 Data Collection Project→
📘 C5 Developing AI Apps with Python and Flask 3 Modules · 12 Lessons
▶ M1 Flask Basics 4
1L1 Introduction to Flask→ 2L2 Routing and Views→ 3L3 Templates and Static Files→ 4L4 Forms and User Input→
▶ M2 Deploying Web Apps 4
1L1 Preparing for Production→ 2L2 Containerization with Docker→ 3L3 Cloud Deployment→ 4L4 Testing and Maintenance→
▶ M3 AI Powered App Development 4
1L1 Integrating AI APIs into Flask→ 2L2 Building NLPPowered Features→ 3L3 Building Vision and Multimodal Features→ 4L4 Complete AI App Project→
📘 C6 Building AI Powered Chatbots 3 Modules · 12 Lessons
▶ M1 Chatbot Fundamentals 4
1L1 Introduction to Chatbots→ 2L2 NLP Basics for Chatbots→ 3L3 Conversational Design→ 4L4 Chatbot Platforms Overview→
▶ M2 Building Your Chatbot 4
1L1 Setting Up Intents and Entities→ 2L2 Building Dialog Flows→ 3L3 Responses and Rich Content→ 4L4 Testing and Iteration→
▶ M3 Advanced Features and Deployment 4
1L1 Webhook and API Integration→ 2L2 LLMPowered Chatbot Intelligence→ 3L3 MultiChannel Deployment→ 4L4 Analytics Optimization and Production Best Practices→