Introduction
Imagine having a smart assistant that can write content, design images, analyze data, and even generate business ideas—all within seconds. That’s the power of Artificial Intelligence and Generative AI.
Our AI & Generative AI Course in Mumbai is designed to help you understand how machines “think,” learn from data, and create new content just like humans. Think of AI like teaching a child: the more examples you give, the smarter it becomes. Generative AI goes a step further—it doesn’t just learn, it creates.
Today, companies are not just looking for developers—they need professionals who can build intelligent systems, automate tasks, and use AI tools effectively. From chatbots to recommendation systems and content generation, AI is transforming every industry.
Why Now?
- AI adoption is growing faster than any previous technology
- Generative AI tools are reshaping jobs across industries
- Businesses need AI-skilled professionals urgently
- Even non-tech roles now require AI understanding
If you start now, you’re not just learning a skill—you’re preparing for the future of work.
2. COURSE PURPOSE & FIT
Purpose / Goals
- Build a strong foundation in Artificial Intelligence concepts
- Understand Machine Learning and Deep Learning basics
- Learn how Generative AI models work (text, image, code generation)
- Work with real-world AI tools and APIs
- Develop problem-solving skills using AI
- Create AI-powered applications and automation tools
- Gain hands-on experience with industry tools
- Prepare for AI-related job roles
Who Should Enrol
- Beginners curious about AI and future technologies
- Students from IT, Commerce, or Science background
- Working professionals looking to upskill
- Developers wanting to move into AI domain
- Entrepreneurs exploring AI-based business ideas
- Anyone interested in automation and smart tools
Why Take This Course
AI is no longer limited to big tech companies—it’s everywhere. This course helps you move from just “using AI tools” to actually understanding and building AI-powered solutions.
Unique Benefit
- Hands-on learning with real AI tools
- Build live projects (not just theory)
- Learn Generative AI practically (Chatbots, Content AI, etc.)
- Industry-focused training approach
Industry Use-Cases
- Chatbots for customer support
- AI content generation (blogs, ads, scripts)
- Recommendation systems (Netflix, Amazon-like)
- Fraud detection in banking
- Image recognition (face detection, medical scans)
- Automation tools for business workflows
Tools & Technologies Covered
- Python Programming
- Machine Learning Libraries (NumPy, Pandas, Scikit-learn)
- Deep Learning (TensorFlow / PyTorch basics)
- Generative AI tools (OpenAI APIs, ChatGPT concepts)
- NLP (Natural Language Processing)
- Data Visualization tools
- Basics of web integration (aligned with web development course concepts)
Certification Preparation
- Course completion certificate
- Guidance for AI/ML certification paths
- Mock tests & interview preparation
Curriculum
- 9 Sections
- 0 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Chapter 1: Introduction to Artificial IntelligenceLearning Objectives:
Understand AI fundamentals and real-world impact
Modules:- AI vs Machine Learning vs Deep Learning (AI fundamentals keywords)
- History and evolution of AI (AI trends keywords)
- Applications of AI in real life (AI use cases keywords)
- Introduction to Generative AI (generative AI basics keywords)
0 - Chapter 2: Python for AI DevelopmentLearning Objectives:
Learn Python basics required for AI
Modules:- Python fundamentals (Python basics keywords)
- Data structures & functions (Python programming keywords)
- Libraries introduction (NumPy, Pandas keywords)
- Data handling & preprocessing (data cleaning keywords)
0 - Chapter 3: Machine Learning FoundationsLearning Objectives:
Understand how machines learn from data
Modules:- Supervised vs Unsupervised learning (ML types keywords)
- Regression & classification models (ML algorithms keywords)
- Model training & evaluation (ML accuracy keywords)
- Overfitting & model improvement (ML optimization keywords)
0 - Chapter 4: Deep Learning BasicsLearning Objectives:
Learn neural networks and advanced learning models
Modules:- Introduction to neural networks (DL basics keywords)
- Activation functions (deep learning concepts keywords)
- Training deep models (DL training keywords)
- Introduction to TensorFlow/PyTorch (DL tools keywords)
0 - Chapter 5: Generative AI ConceptsLearning Objectives:
Understand how AI generates content
Modules:- What is Generative AI (GenAI basics keywords)
- Text generation models (NLP models keywords)
- Image generation basics (AI image tools keywords)
- Prompt engineering (prompt writing keywords)
0 - Chapter 6: Natural Language Processing (NLP)Learning Objectives:
Work with text-based AI systems
Modules:- Text preprocessing (NLP preprocessing keywords)
- Sentiment analysis (text classification keywords)
- Chatbot basics (AI chatbot keywords)
- Language models overview (LLM basics keywords)
0 - Chapter 7: AI Integration & DeploymentLearning Objectives:
Integrate AI models into real applications
Modules:- API integration (AI API keywords)
- Deploying models (AI deployment keywords)
- AI in web apps (frontend development course integration keywords)
- Basic UI connection using HTML CSS JavaScript course concepts
0 - CAREER & SALARY INSIGHTS — Mumbai MarketJob Roles:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- NLP Engineer
- AI Product Developer
- AI Automation Specialist
- Freshers: ₹4 LPA – ₹8 LPA
- Mid-Level: ₹8 LPA – ₹18 LPA
- Experienced: ₹20 LPA – ₹40 LPA+
- AI jobs are increasing rapidly in Mumbai
- Startups and MNCs actively hiring AI talent
- Generative AI roles are the fastest growing
- Strong Python and ML basics
- Hands-on project experience
- Understanding of AI tools and APIs
- Problem-solving and analytical thinking
- Basic web technologies training knowledge is a plus
0 - PRACTICAL OUTCOMESTools / Tech Stack Covered:
- Python, ML libraries, NLP tools, Generative AI APIs, TensorFlow basics
- AI Chatbot using NLP
- AI Content Generator tool
- Recommendation System
- Mini AI-based automation tool
Build a complete AI-powered application (e.g., chatbot + content generator + API integration)
Assessment Method:- Weekly assignments
- Mini projects
- Final capstone project
- Mock interviews
- 3–5 real-world AI projects
- GitHub portfolio
- Resume-ready project experience
0
AI allows machines to learn from data, while Generative AI creates new content like text, images, or code.
No, this course starts from basics and gradually builds your skills.
Yes, it is designed for beginners as well as professionals.
Typically 2–4 months depending on learning mode.
Yes, you will receive a course completion certificate.
AI Engineer, ML Engineer, Data Scientist, etc.
Yes, AI is one of the fastest-growing career fields.
Freshers can start from ₹4–8 LPA depending on skills.
Yes, hands-on projects are a core part of the course.
Yes, you will learn to build AI-based applications.
Not mandatory, but it helps improve job opportunities.
No, with proper guidance it becomes easy and practical.
Yes, flexible learning options are available.
Python, ML libraries, NLP tools, Generative AI APIs.
Web development focuses on building websites, while AI focuses on building intelligent systems—but both can be combined for powerful applications.
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