By the end of this course, you will be able to:

• Apply fundamental video editing techniques, including sequencing, transitions, and keyframing
• Recognize Image Generation Proficiency using the tool
• Analyze detailed storyboards that effectively plan the sequence and visual elements of their videos
• Distinguish basic animation techniques, such as the parallax effect and Ken Burns effect, to create dynamic visuals
• Recognize different artistic styles in MidJourney to generate images that fit specific themes or concepts
• Explain the ability to critically evaluate and provide constructive feedback on their own and peers’ video projects
• Evaluate how to effectively navigate and utilize MidJourney's image generation features

By the end of this course, you will be able to:

• Outline the core principles and applications of generative AI
• Plan and execute the set up for the development environment, VS Code, and AWS account
• Generate the API key and install the GPT API on the Python system
• Create a ChatGPT inspired chatbot using Python and Flask framework
• Generate images from textual descriptions
• List the steps to develop intelligent bots for WhatsApp and Telegram
• Recall the steps to build end-to-end large language models (LLM) applications
• Apply generative AI and Python programming to create Chat to PDF applications
• Create a voice-driven virtual assistant by integrating Artificial General Intelligence (AGI) aspects
• Illustrate your expertise in using Gradio by building a ChatBot
• List the steps of fine-tuning to achieve better results on Chat GPT

By the end of this course, you will be able to:

• Apply the primary function of Django and its key features
• State the command used to start new projects in Django
• Explain the architectural pattern used in Django
• Outline the vital components of a Django project
• Discuss some valid Django template tags
• State how to switch between directories in terminal
• Summarize the procedures involved in creating a password generator app using Django
• State the primary use of Bootstrap and Jinja templates in web development
• Identify and rectify errors in Django code blocks
• Explain the requirements and process involved in creating a weather app using Django
• Distinguish between makemigration and migrate database commands in Django
• Discuss the function of an Autofield in a Django model

By the end of this course, you will be able to:

• List the hardware and software components required for building a face recognition door system
• State how to install Visual Studio Code (VSCode) for coding and managing Raspberry Pi projects
• Create and configure an AWS account to store and manage face recognition data
• Arrange and integrate hardware components (camera, door lock, relay, etc.) into a Raspberry Pi-based system
• Apply and utilize relay modules and LED indicators to control the door lock mechanism
• Recall how to implement a push button that triggers a bell when pressed
• Combine additional features such as motion sensors and voice recognition functionality to enhance the door lock system
• Explain the fundamental concepts and techniques of face recognition technology
• Describe how to set up and configure Raspberry Pi for face recognition and door lock projects
• Select and use AWS Recognition to index faces, preparing the system to recognize different individuals
• Create a system that recognizes faces in real time and triggers appropriate

By the end of this course, you will be able to:

• Discuss techniques for developing advanced AI systems based on GPT-3 and Python
• Explain how to use Python to interact with OpenAI GPT-3 API
• Summarize the skills and knowledge needed to become an AI expert
• Explain how you can build an AI assistant that generates text, answers questions, and can even interact with you
• Describe how GPT-3 data generated valuable insights
• Analyze the architecture of GPT-3 and its basis
• Outline the techniques for extracting valuable insights from the data generated by GPT-3