Online Degree in Artificial Intelligence

The Online Degree in Artificial Intelligence is an online program designed to provide a concise and effective understanding of Artificial Intelligence and its diverse applications. This degree program focuses on the in-demand industry requirements needed to achieve excellence and command in the AI space. With this program, you will master the AI landscape by learning from veterans in the Artificial Intelligence field. You will explore Machine Learning, Neural Networks, Natural Language Processing, Computer Vision, and Advanced AI Strategies to ensure your success in the AI market. The ever-expanding realm of Artificial Intelligence holds proven benefits for the future of technological evolution. Keeping in mind the latest advancements in the AI space, this online degree program covers all the major and intricate details, providing opportunities to master the fundamentals of the technological infrastructure that powers AI systems. Designed and specially curated for both beginners and experienced professionals, this program offers expansive knowledge in strategizing AI implementations across various industries. From the basics of AI and introductions to deep learning, to comprehensive training in AI development and its practical applications, this program provides a thorough structural understanding of the revolutionary Artificial Intelligence landscape. Enroll in the Online Degree in Artificial Intelligence and gain the expertise needed to innovate and excel in this rapidly advancing field. Whether you aim to advance your career, drive technological innovation, or lead AI-driven projects, this degree equips you with the skills and knowledge to shape the future of intelligent systems and solutions.

$999

Play Video

40 Hours

Course Duration

Online

Exam

Self-paced

Access Mode

Lifetime

Certification Validity

Course Overview

  • Definition of AI
  • Brief history and evolution of AI
  • Current state of AI and future trends
  • Basic concepts in AI
  • Types of AI: Narrow AI, General AI, and Superintelligent AI
  • Major Approaches to AI: Symbolic, Machine Learning, and Hybrid
  • Basics of Machine Learning
  • Types of Machine Learning
  • Overview of Deep Learning
  • Understanding Bias-Variance Trade-off
  • Fundamental Algorithms in AI and ML
  • Introduction to Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • AI in Healthcare
  • AI in Business and E-commerce
  • AI in Autonomous Vehicles
  • AI in Entertainment
  • AI in Finance
  • AI in Technology (Ai in Blockchain )
  • AI in Technology (AI in IOT)
  • Understanding AI Ethics
  • Potential Pitfalls and Controversies in AI
  • Strategies for Responsible AI Deployment
  • What is Prompt Engineering?
  • Importance of Prompt Engineering
  • Applications of Prompt Engineering
  • Different types of Prompts
  • Components of a Prompt
  • Understanding Prompt Context
  • Problems and Challenges with Prompts
  • Eliciting Desired Response
  • Eliciting Desired Response – Hands On
  • Clarity and Specificity in Prompts
  • Dealing with Ambiguity
  • Handling Sensitive Topics and Content Safeguards
  • Importance of Context in Prompt Design
  • Prompt Strategies for Better Output
  • Useful Prompt Templates
  • Case Studies: Prompt Engineering Examples
  • Step-by-Step Process of Creating Prompts
  • Prompt engineering for Text Summarization
  • Prompt engineering for Information Extraction
  • Prompt engineering for Question Answering
  • Prompt engineering for Text Classification
  • Prompt engineering for Code Generation
  • Prompt engineering for Paraphrasing
  • Analyzing and Evaluating Prompt Performance
  • Overview of OpenAI API
  • ChatGPT PlayGround
  • How to setup ChatGPT add-on?
  • Get started with ChatGPT in Google Docs
  • Get started with ChatGPT in Google Sheets
  • Data generation trick for ChatGPT in Google Sheets
  • Zero-shot and Few-shot Prompting
  • Dealing with Biases in Prompt Responses
  • Mitigating Inappropriate or Unwanted Responses
  • Engineering Prompts for Multilingual and Multicultural Contexts
  • Building Iterative and Interactive Prompt Chains
  • Evolution and Trends in AI Conversational Models
  • Career Opportunities in Prompt Engineering
  • Emergence of Open-source Large Language Models
  • Bard Model
  • Claude Model
  • GROK AI
  • What is ChatGPT?
  • The history of ChatGPT
  • Applications of ChatGPT
  • ChatGPT vs other chatbot platforms
  • Industries using ChatGPT
  • The benefits and limitations of ChatGPT
  • Future developments in ChatGPT technology
  • Ethical considerations related to ChatGPT and AI
  • What is AI?
  • Types of AI
  • What is Machine Learning?
  • Neural Networks
  • Deep Learning
  • Computer Vision
  • Robotics and AI
  • Narrow AI
  • Strong AI
  • Superintelligence
  • How does ChatGPT work?
  • ChatGPT 3 vs ChatGPT 4
  • ChatGPT Functionalities
  • Drafting emails and professional communication
  • Automating content creation
  • Research and information gathering
  • Brainstorming ideas and creative problem solving
  • Best Practices for Using ChatGPT
  • Text Analytics using ChatGPT
  • Introduction to ChatGPT Job Opportunities
  • Job Search Strategies and Resources
  • Resume and Interview Preparation
  • ChatGPT: Freelance and Entrepreneurial Opportunities
  • Challenges and Opportunities in the Field of ChatGPT
  • Challenge of data privacy
  • Mitigating data leakage using data masking
  • Using Private Large Language Models
  • Overview of ChatGPT Plugins
  • Hands-on with ChatGPT Plugins – Wolfram Plugin
  • Hands-on with ChatGPT Plugins – Link Reader Plugin
  • Customize ChatGPT
  • What is Gemini AI?
  • Key Features of Gemini AI
  • A brief on Gemini Versions: Nano, Pro, Ultra
  • ChatGPT vs Gemini
  • Overview on Multimodal models
  • Gemini AI Working Mechanism
  • Gemini: AI Technology Stack
  • Gemini AI Capabilities
  • Best Practices for Using Gemini AI
  • Gemini AI Walkthrough
  • How to use Gemini AI to write a poem
  • How to use Gemini AI to create Youtube video script
  • How to use Gemini AI to generate blog post
  • How to use Gemini AI to draft Email
  • How to use Gemini AI to write Cover letter
  • How to use Gemini AI to create Resume
  • How to use Gemini AI to generate, debug and test code part 1
  • How to use Gemini AI to create a Single Login Portal
  • How to use Gemini AI to create a Database Table
  • How to use Gemini AI to create a Website Template
  • How to use Gemini AI for translation
  • Gemini AI for Image translation
  • How to use Gemini AI for research
  • What is Generative AI?
  • Generative AI vs Non-Generative AI
  • Applications of Generative AI
  • Understanding Text Data
  • Introduction to Generative AI for Text
  • Overview of ChatGPT
  • ChatGPT in Action for Text Generation
  • Using Google Bard for Text Generation
  • Introduction to AI for Image Generation
  • Introduction to Stable Diffusion AI Models
  • Overview of DreamStudio Platform
  • Generating Images with Stable Diffusion
  • Editing Images with Stable Diffusion
  • Prompt Engineering for Image Generation
  • Challenges in Generative AI for Images
  • What is Enterprise AI
  • Regular AI vs Enterprise AI
  • Introduction to Generative AI for Enterprises
  • Benefits of Generative AI in Business
  • Overcoming Challenges in Adopting Generative AI
  • Relevance of Generative AI for Public Services
  • Benefits of Implementing Generative AI in Public Services
  • Structure of a Generative AI Project
  • Generative AI in Education
  • Generative AI in Healthcare
  • Generative AI in Tourism
  • Challenges and Solutions in Applying Generative AI to Public Services
  • Data Privacy Risks in Generative AI Systems
  • Mitigating Data Leakage using Data Masking
  • Using Private Generative AI Models
  • Privacy by Design in AI
  • Implementing a Data Privacy Culture
  • Prompt engineering for Text Summarization
  • Prompt engineering for Information Extraction
  • Prompt engineering for Question Answering
  • Prompt engineering for Text Classification
  • Prompt engineering for Code Generation
  • Prompt engineering for Paraphrasing
  • Analyzing and Evaluating Prompt Performance
  • Generative AI for Sound
  • Generative AI for Videos
  • Other Gen AI Trends
  • Hugging face
  • Overview of LLAMA2 and Gemma
  • Fine tunning Gemma
  • Overview of AI tools for coding
  • Importance and applications of AI in programming
  • Introduction to GitHub Copilot
  • Setting Up GitHub Copilot
  • Integrating Copilot into coding workflows
  • Writing Code for a Landing Page
  • Debugging using GitHub Copilot
  • Testing using GitHub Copilot
  • Introduction to ChatGPT
  • Integrating ChatGPT into Coding Workflows
  • Practical Examples and Use Cases
  • Overview of Leonardo AI
  • Leonardo AI for Image Generation
  • LLM Overview
  • Evolution of LLMs
  • Capabilities and Limitations of LLMs
  • Applications and use cases of LLMs
  • Tokenization, Vectors and Embeddings
  • Attention Mechanism and its variants
  • Introduction to Transformer Architecture
  • Creating Custom Language Models
  • Transfer Learning in NLP
  • Evaluation Metrics for LLMs: BLEU, ROUGE, Perplexity
  • Introduction to Hugging Face Transformers library
  • Overview of llama2 and Gemma
  • Fine Tuning Gemma Model
  • Overview of popular LLMs: GPT-3/4, BERT, T5
  • Fine-tuning pre-trained models for specific tasks
  • BERT and its variants: RoBERTa, DistilBERT
  • GPT and its applications in text generation
  • Exploring other models: T5, XLNet, ELECTRA
  • Building conversational agents and chatbots – Part 1
  • Building conversational agents and chatbots – Part 2
  • Creative applications: text generation, storytelling – Part 1
  • Creative applications: text generation, storytelling – Part 2
  • Ethical considerations and bias mitigation in LLMs
  • Computer Vision (CV
  • CNN from Scratch
  • CNN using Tensorflow
  • Basics of audio signal processing
  • Feature extraction: MFCCs, Spectrograms – Part 1
  • Feature extraction: MFCCs, Spectrograms – Part 2
  • Audio classification and speech recognition – Part 1
  • Audio classification and speech recognition – Part 2
  • Basics of video signal processing
  • Frame extraction and video feature analysis – Part 1
  • Frame extraction and video feature analysis – Part 2
  • LangChain – Langchain for Conversational AI Applications
  • LangChain – Deploying Language Model APIs with Langchain
  • LangChain – Langchain for RAG Workflows
  • Ollama – Overview of Ollama for conversational AI
  • Ollama – Developing and deploying conversational agents with Ollama
  • Project 1: Text Classification Model
  • Bert_text_classification
  • Bert_text_classification_app
  • Data preparation and preprocessing
  • Text Generation Model
  • Project 2- Text Generation Model
  • Project3 – Designing a conversational agent architecture
  • ConversationalAgent
  • ConversationalAgent_App
  • Conversational_agent_openAI
  • Conversational_agent_openAI_app
  • ConversationalAgent_LangChain
  • ConversationalAgent_Ollama
  • ConversationalAgent_HuggingFace
  • Introduction to MLOps concepts and practices
  • Continuous Integration and Continuous Deployment
  • Monitoring model performance in production
  • Handling model drift and retraining
  • Automated model testing and validation
  • Optimizing LLMs for scalability and performance
  • Distributed training and inference
  • There will be an online self-paced training followed by a  multiple choice exam of 100 marks.
  • You need to acquire 60% marks to clear the exam.
  • If you fail the exam, you can retake the exam after one day.
  • You can take the exam for the maximum of 3 times.
  • If you failed to acquire 60% marks even after three attempts, you would need to contact the Blockchain Council team to have manual assistance for clearing the exam.

Top Job Roles

The Online Degree in Artificial Intelligence is designed for AI managers, data scientists, developers, researchers, startup enthusiasts, AI enthusiasts, investment professionals, research analysts, and AI developers. Whether you are a coding professional or a non-coding professional with a strong interest in artificial intelligence, enrolling in the Online Degree in Artificial Intelligence program will equip you with the skills, knowledge, and industry recognition necessary to excel in the AI field. This online degree program offers comprehensive education, practical insights, and valuable strategies in the world of artificial intelligence, empowering you to innovate and lead in this rapidly evolving industry.

The Online Degree in Artificial Intelligence offers a structured and comprehensive curriculum that covers a wide range of topics related to artificial intelligence, machine learning, neural networks, data science, AI ethics, natural language processing, computer vision, and more. Participants will gain a deep understanding of AI fundamentals, machine learning algorithms, data analysis, neural network architectures, risk management, AI implementation strategies, and ethical considerations in AI development.

  • Blockchain Council Certification
  • Lifetime access to the course content
  • 24*7 Support for all your queries

Certification Benefits

Frequently Asked Questions

The Online Degree in Artificial Intelligence is designed for AI managers, data scientists, developers, researchers, startup enthusiasts, AI enthusiasts, investment professionals, research analysts, and AI developers interested in gaining expertise in artificial intelligence. Whether you are a coding professional or a non-coding professional with a strong interest in AI, enrolling in the Online Degree in Artificial Intelligence program will equip you with the skills, knowledge, and industry recognition necessary to excel in the AI field. This online degree program offers comprehensive education, practical insights, and valuable strategies in the world of artificial intelligence, empowering you to innovate and lead in this rapidly evolving industry.

The Online Degree in Artificial Intelligence offers a comprehensive education, validation of expertise, enhanced career opportunities, industry recognition, staying at the forefront of innovation, and networking opportunities in the artificial intelligence industry. This degree equips you with essential AI knowledge and skills, certifies your proficiency, opens doors to diverse AI roles, gains acknowledgment from the industry, keeps you updated with the latest AI advancements, and connects you with a network of AI professionals and leaders.

Yes, you can retake exams if you don’t pass them on your first attempt. Please refer to the specific policies and guidelines provided by the Blockchain Council regarding the number of allowed attempts and any associated fees.

Please refer to the Blockchain Council’s official website for the most up-to-date pricing information on the Online Degree in Artificial Intelligence program, as well as any available payment options and offers.

The Online Degree in Artificial Intelligence program duration may vary depending on the pace of individual learners. The program is designed to be flexible, allowing participants to learn at their own convenience and complete the program within a reasonable timeframe.

There are no specific prerequisites for enrolling in the Online Degree in Artificial Intelligence program. The program is open to professionals and students interested in gaining knowledge and expertise in artificial intelligence, machine learning, and data science, regardless of their coding or non-coding background. Whether you are a seasoned professional looking to upskill or a newcomer eager to enter the AI field, this degree provides the comprehensive education and practical insights needed to excel in the dynamic world of artificial intelligence.

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