What You Will Learn
Understand the fundamentals of Artificial Intelligence, Machine Learning, and Automation workflows.
Work with Python libraries for AI such as NumPy, Pandas, Scikit-Learn, and automation toolkits.
Build intelligent automation scripts to automate repetitive business tasks.
Develop machine learning models for prediction, classification, and decision-making.
Learn Prompt Engineering to create smarter AI-powered outputs and workflows.
Integrate AI tools (LLMs, chatbots, APIs) with real business systems.
Master data preprocessing & feature engineering for accurate AI models.
Automate reporting, dashboarding, and data workflows using Python and cloud tools.
Implement AI-driven solutions for HR, Finance, Sales, and Marketing automation.
Deploy automation pipelines on cloud platforms using lightweight frameworks.
Apply Generative AI for text, image, document, and code automation tasks.
Learn process automation using tools like Selenium, Robocorp, and Python automation libraries.
About Course
This AI & Automation program is designed to teach students how to build intelligent systems, automate business processes, and apply machine learning techniques to solve real-world problems.
You will learn modern AI tools, Python automation, model building, prompt engineering, and end-to-end workflow automation used across industries like IT, HR, Finance, Marketing, and Operations.
The course is suitable for beginners to advanced learners, including students, working professionals, and anyone looking to build a strong career in AI, Data, and Automation technologies.
Course Curriculum
AI Foundations & Python Programming
- Python Basics: Variables, loops, functions, data types.
- Core Libraries: NumPy, Pandas for data handling & automation tasks.
- Python Automation: File automation, email automation, API automation.
- Scripting & Task Automation: Automate Excel, PDFs, system tasks.
Machine Learning & Model Building
- ML Basics: Supervised & Unsupervised learning.
- Model Training: Regression, Classification, Clustering.
- Model Evaluation: Accuracy, precision, recall, confusion matrix.
- Feature Engineering: Data cleaning, scaling, encoding.
Generative AI & Prompt Engineering
- Understanding LLMs: ChatGPT, Gemini, Claude basics.
- Prompt Techniques: Role prompts, system prompts, multi-step prompts.
- Use Cases: Content automation, code generation, document processing.
- AI Integrations: Connecting LLMs with real applications.
Automation Tools & Frameworks
- RPA Concepts: Basics of automation pipelines.
- Web Automation: Selenium-based automation scripts.
- Task Automation: Scheduling, bots, workflows.
- Process Optimization: Trigger-based automation tools.
API Integration & AI Workflows
- REST APIs: API calling, JSON handling.
- Third-Party AI APIs: Vision, text, speech automation.
- Connecting AI with Databases: Automating data updates.
- Workflow Orchestration: End-to-end automation pipelines.
Data Analytics for AI Automation
- Data Exploration: EDA for automation.
- Data Visualization: Matplotlib, Seaborn, Power BI basics.
- Insight Generation: Automated report creation.
- Patterns & Prediction: Identifying trends for automation workflows.
Deployment & Real-Time Automation
- Deploy AI Models: Lightweight deployment concepts.
- Serverless Automation: Cloud triggers & execution.
- Realtime Bots: Chatbots, auto-responders, AI assistants.
- Monitoring & Optimization: Improving model/automation accuracy.
Capstone Projects & Portfolio Building
- End-to-End AI Automation Projects: Business automation, chatbot systems, predictive systems.
- Industry Use Cases: HR automation, finance analytics, sales predictions.
- GitHub Portfolio Setup: Uploading code, notebooks, and models.
- Interview Preparation: AI/ML/Automation questions + case studies.
Requirements
- •Basic understanding of computer operations.
- •No prior coding or AI experience required (Beginner to Advanced).
- •A laptop with at least 8GB RAM (recommended 16GB for AI/ML workloads).
- •Stable internet connection for cloud tools, APIs, and automation workflows.
- •Basic English communication skills to understand AI & automation concepts.
Material Includes
- •Source Code & Automation Scripts for all AI, ML, and automation projects.
- •AI, ML & Python Cheat Sheets (Pandas, NumPy, Scikit-Learn, Prompt Engineering).
- •Practice Datasets for automation, prediction, NLP, and dashboard creation.
- •E-books on AI, Automation Workflows, Machine Learning & Prompt Engineering.
- •Access to our exclusive AI & Automation Community for doubt-solving & guidance.
- •Interview Preparation Toolkit (AI/ML questions, automation tasks, case studies).
- •Project Templates for deploying automation pipelines and AI models.
- •Cloud Practice Files for API integration and serverless automation demos.
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