Instructor hours only. Significant additional self-study will be required.

Join our immersive, instructor-led online training course tailored for beginners and professionals from diverse backgrounds

Unlock the Future with the Career Comeback Program through

• Interactive learning: Learn in an interactive and immersive classroom environment by our experts and get your doubts cleared on the spot
• Live Demonstrations: Experience cutting-edge technology in action.
• Immersive Simulations: Safely explore and interact with advanced tools and environments.
• Real-World Case Studies: Gain insights from practical applications across industries.
• Essential Tools Training: Master the tools and platforms needed to thrive in the modern digital landscape.
• Practical Applications: Engage in hands-on projects to apply concepts in real-world scenarios.

Why Applied Python for AI is in demand?

• Easy Learning Curve: Python’s simple syntax makes it accessible, allowing developers to quickly learn and implement AI concepts.
• Extensive Libraries: Libraries like TensorFlow, Keras, and PyTorch support AI model development, making Python a top choice for AI projects.
• Versatility: Python can handle a variety of tasks in AI, from data processing and analysis to machine learning and deep learning.
• Community Support: Python has a vast community of developers, providing strong support, continuous updates, and extensive resources.
• Integration and Deployment: Python seamlessly integrates with AI tools and frameworks, and it’s easy to deploy AI models in production environments.
• Cross-Platform Compatibility: Python runs on multiple platforms (Windows, Linux, macOS), making it versatile for AI development.

Program Structure

Module 1: Introduction to Python 

• Overview of Python and Its Applications
  • Introduction to Python
  • History and evolution of Python
  • Real-world applications in AI, web development, and data analysis
• Setting Up the Local Development Environment  
  • Installing Python
  • Setting up VSCode, Jupyter Notebooks, and Google Colab
  • Introduction to IDEs and their features
• Writing Your First Python Program  
  • Basic syntax and structure of Python programs
  • Variables and expressions
  • Simple data operations

Module 2: Core Python Programming

• Data Types and Type Conversion
  • Understanding different data types in Python
  • Type conversion techniques
• Operators in Python
  • Arithmetic, comparison, assignment, and bitwise operators
• String Manipulation
  • String operations and methods
  • Formatting strings
• Control Flow and Logical Operators
  • Conditional statements (if, elif, else)
  • Logical operators (and, or, not)
• Data Structures: Lists and Tuples 
  • Creating and manipulating lists and tuples
  • List comprehensions
• Data Structures: Dictionaries and Sets
  • Creating and manipulating dictionaries and sets
  • Dictionary and set methods

Module 3: Advanced Python Programming

• Loops
  • For and while loops
  • Nested loops
• Functions
  • Defining functions
  • *args and **kwargs
  • Lambda functions
• Recursion
  • Understanding and implementing recursion
  • Examples and use cases
• Object-Oriented Programming (OOP)
  • Classes and objects
  • Inheritance and polymorphism
• File Handling
  • Reading and writing files
  • Working with CSV and JSON files
• Error Handling
  • Exceptions and try-except blocks
  • Common errors and debugging techniques

Module 4: Python for AI 

• Introduction to Machine Learning Concepts
  • Basics of machine learning
  • Overview of supervised and unsupervised learning
• Supervised Learning
  • Regression and classification techniques
  • Implementing basic models
• Building and Training an ML Model
  • Data preprocessing
  • Training and evaluating models
• OpenAI Gym
  • Introduction to OpenAI Gym
  • Creating and solving reinforcement learning problems
• Building a Chatbot 
  • Introduction to chatbots
  • Build a simple chatbot
• Data Analysis and Visualization
  • Introduction to Numpy, Pandas, and Matplotlib
  • Data manipulation and visualization techniques

Module 5: Python Projects and Applications

• Web Development with Flask
  • Basics of Flask framework
  • Building a simple web application
• Final Project
  • Implementing an end-to-end project
  • Project presentations and feedback

Module 6:Hands-On Projects and Assignments

Throughout the course, students will engage in the following projects to apply their learning:

• Sentiment Classifier: Create a sentiment analysis model using TensorFlow.
• Image Classification Model: Build and deploy an image classification model
• Web Scraping: Scrape data from NASA website using BeautifulSoup and requests.

Why learn this skill from BlockVerse?

1. Learning That’s Personal and Live: Real Humans, Real Impact Our live, instructor-led sessions connect you directly with experts who guide, teach, and answer your questions in real-time in a virtual class. Say goodbye to pre-recorded videos—experience dynamic, human-centered learning that adapts to your pace and needs. Our programs ensure you feel confident and capable from the start and are built on the timeless method of guided teaching that’s worked from Socrates to today.

2. Hands-On, Tailored Support: Your Journey, Your Way With small batch sizes and expert mentorship, every learner gets personalized attention. From guided projects to live consultations, our instructors ensure you’re not just learning but excelling, with immediate feedback and support.

3. Real Skills, Real Confidence: Whether you’re diving into a new field like crypto or coding, our focus is on building a strong foundation through practical skills and portfolio-worthy projects. We break down complex topics into clear, actionable steps, making even the most intimidating subjects approachable. Start your journey with confidence and practical knowledge you can apply from day one.

4. Portfolio Building to Showcase Learners’ Skills Help learners create tangible outcomes (e.g.: projects, case studies, or capstone projects) that they can showcase to potential employers or clients.

5. Placement Assistance Helping learners bridge the gap between learning and employment, is a critical step for many. We will also aim to connect learners with job opportunities and employers. We do not guarantee placement