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Gen AI Course

The Generative AI program is designed to explore the exciting frontier of AI creativity. From generating text and images to creating innovative solutions, this course equips you with the knowledge to build and fine-tune AI models. Whether you’re a student or a tech enthusiast, you’ll learn how to leverage generative AI in creative and practical ways, positioning yourself at the forefront of AI advancements.

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Why learn Gen AI Course Now

Enhanced Employability: AI skills make students more attractive to a broad range of employers.

Higher Salary Potential: Proficiency in AI can lead to high-paying roles across many industries.

Cutting-Edge Skills: Students gain hands-on experience with the latest AI technologies and tools.

Future Readiness: Prepares students for future advancements in technology and new job roles.

Global Career Prospects: AI expertise opens doors to international job markets and remote work opportunities.

You will be master in

AI Voice Specialist

Prompt Engineer

AI Chatbot Developer

LLM Engineer

AI Research Scientist

Data Engineer

Synthetic DataEngineer

Gen AI Developer

ML Ops Engineer

AI Content Creator

Data Scientist

Generative AI Consultant

Why learn Gen AI Course Now

Foundations of AI and Machine Learning: Develop a solid understanding of AI concepts, algorithms, and real-world applications.

Deep Learning Fundamentals: Learn to build and train neural networks for advanced AI solutions.

Natural Language Processing (NLP): Master techniques for text analysis, sentiment detection, and conversational AI systems.

Computer Vision: Understand and implement image recognition, object detection, and video analytics.

Data Preprocessing and Feature Engineering: Learn methods to clean, transform, and prepare data for AI models.

 Predictive Modeling and Analytics: Build models to forecast trends and make data-driven decisions.

AI for Structured Data: Work with numerical and categorical datasets for applications like regression and classification.

AI Ethics and Interpretability: Understand the importance of fairness, bias mitigation, and explainable AI

Real-world AI Projects: Gain hands-on experience by working on AI applications across various domains like healthcare, finance, and retail.

Course Details

100% Online Learning: Flexible and self-paced courses, accessible anytime, anywhere.

 Hands-On Training: Gain practical experience by working on real-world use cases and industry-relevant projects.

Expert-Led Sessions: Learn directly from industry professionals and AI experts.

Certification: Earn a globally recognized certificate upon course completion.

Career Support: Access resume-building workshops, mock interviews, and job placement assistance.

Learner Career Outcomes

Employment in AI-related Roles

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Learners will secure roles such as AI Developer, Data Scientist, Machine Learning Engineer, etc.

Industry-Specific Expertise

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Learners will specialize in AI applications across multiple industries like healthcare, finance, and retail etc

Higher Earning Potential

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Learners will have access to higher-paying roles in the tech sector, with potential for rapid salary growth.

Advanced Research Opportunities

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Learners will be well-equipped for academic or corporate research roles in cutting-edge AI and machine learning technologies.

Entrepreneurship in AI

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Learners will be capable of launching AI-focused startups or working as independent consultants in AI.

About the Course

Our AI training program is designed to equip learners with the skills and knowledge needed to excel in the fast-evolving field of artificial intelligence. With a comprehensive curriculum covering machine learning, deep learning, natural language processing, and computer vision, the program emphasizes practical, hands-on learning through real-world projects. Taught by industry experts, it prepares students for high-demand roles like AI Developer, Data Scientist, and Machine Learning Engineer. Whether you’re starting your career or upskilling, our program ensures you are ready to master the future of AI and achieve your career goals.

What We Offer

Mastery over Variety: Instead of spreading ourselves thin, we prioritize depth and mastery, equipping you with the critical skills needed to stand out

Expert-Led Curriculum: Learn from professionals in the field who have firsthand knowledge in these fields and are fervently committed to AI and generative AI

Real-World Applications: Our courses are designed to equip you with practical information that may be used right away to real-world problems in industry or research.

Future-Proof Skills: AI and Generative AI are transforming the future of technology, ensuring that individuals stay ahead in the evolving digital landscape

Course Syllabus

Level

Duration

Fee

Discount

Total

Core

60 Hours

₹ 50,000

₹15,000

₹ 35,000

Advanced

90 Hours

₹ 70,000

₹20,000

₹ 50,000

Expert

120 Hours

₹ 80,000

₹15,000

₹ 65,000

Gen AI Course certification

At the end of this course, you will receive a Generative AI Course Certification that validates your expertise in one of the most innovative areas of artificial intelligence—Generative AI. This certification demonstrates your ability to harness AI technologies that create new content, such as text, images, and other media, which are transforming industries like entertainment, marketing, and design. With this credential, you will be recognized as a skilled professional ready to apply generative AI techniques in solving real-world problems and driving creative, data-driven solutions.

Our certification is developed in alignment with industry standards and has been carefully crafted with input from AI experts and leading professionals. This ensures that your certification holds significant value in the job market and will be highly regarded by employers looking for forward-thinking talent. With the growing demand for professionals who understand and can leverage generative AI, this certification will help you stand out in your career and empower you to contribute to innovative projects and emerging technologies in the AI space.

Generative AI Master Course Trainer Profile

Our Generative AI Master Program trainers are industry-leading experts with a deep understanding of artificial intelligence and its transformative potential across multiple domains. With extensive experience in both research and real-world applications, our trainers bring a blend of technical expertise, innovation, and teaching prowess. They are dedicated to equipping students with the knowledge and skills needed to excel in the rapidly evolving field of AI.

  1. AI Thought Leadership
    o Regular speaker at AI conferences, podcasts, and webinars, contributing thought leadership on AI trends, innovation, and the future of generative models.
  2. Extensive Experience in AI & Machine Learning
    o Over 10 years of experience in AI, with a specialization in Generative AI, deep learning, and neural networks.
  3. Hands-on Expertise in Cutting-Edge AI Models
    o Practical knowledge in developing and deploying models such as GPT-4, DALL-E, StyleGAN, and BERT.
  4. Proven Track Record in Industry Projects
    o Involved in real-world AI projects with top tech companies, contributing to solutions in healthcare, finance, art, and entertainment.
  5. Certified AI Expert with Advanced Degrees
    o Holds a PhD/Master’s degree in Computer Science or a related field, with advanced certifications in machine learning and AI development.
  6. Passionate Educator & Mentor
    o A seasoned trainer and mentor, having taught over 500+ students and professionals globally, with a focus on bridging the gap between theory and
    practical application.
  7. Industry Collaboration and Networking
    o Actively collaborates with top AI research labs and companies, keeping up-to-date with emerging technologies and trends in the AI landscape.

Gen AI Course

  1. Introduction to Generative AI (1 hours)
  2. Types of Generative Models and their Usage(2 hours)
    • Transformers (BERT, GPT)
  3. Overview On Various LLM Services & Providers (10 hours)
    • Huggingface (Opensource LLMs)
    • Ollama (Localhost LLMs)
  4. Prompt Engineering (5 hours)
    • Fundamentals of Prompt Engineering
    • Core Concepts and Syntax
    • Crafting Prompts: Core Techniques
  5. Python for Generative AI (10 hours)
    • Fundamentals of Python for AI
    • Python Essentials for AI Development
    • Natural Language Processing with Python
    • Generating Images with Python
  6. LLM application frameworks (10 hours)
    • Lang Chain
    • Llama Index
  7. Industry wide Use Cases (5 hours)
    • Text Generation
    • Text Classification and Understanding
  8. Retrieval-Augmented Generation (RAG) (9 hours)
    • RAG Explained
    • Building a RAG setup
    • RAG advantages
    • Rag use cases
    • Hands on activities
  9. Capstone Project (8 hours)
  1. Introduction to Generative AI (1 hours)
  2. Types of Generative Models and their Usage(3 hours)
    • Transformers (BERT, GPT)
    • Diffusion Models
  3. Overview On Various LLM Services & Providers (10 hours)
    • Huggingface (Opensource LLMs)
    • Ollama (Localhost LLMs)
  4. Prompt Engineering (10 hours)
    • Fundamentals of Prompt Engineering
    • Core Concepts and Syntax
    • Crafting Prompts: Core Techniques
    • Optimization Strategies
  5. Python for Generative AI (12 hours)
    • Fundamentals of Python for AI
    • Python Essentials for AI Development
    • Natural Language Processing with Python
    • Generating Images with Python
  6. LLM application frameworks (10 hours)
    • Lang Chain
    • Llama Index
  7. Industry wide Use Cases (25 hours)
    • Text Generation
    • Text Classification and Understanding
    • Language Translation, Summarization, and Conversational Agents
    • Code Understanding and Generation
    • Information Retrieval and Search
  8. Retrieval-Augmented Generation (RAG) (9 hours)
    • RAG Explained
    • Building a RAG setup
    • RAG advantages
    • Rag use cases
    • Hands on activities
  9. Capstone Project (10 hours)
  1. Introduction to Generative AI (1 hours)
  2. Types of Generative Models and their Usage(5 hours)
    • Transformers (BERT, GPT)
    • Diffusion Models
    • GANs (Generative Adversarial Networks)
    • VAEs (Variational Autoencoders)
  3. Overview On Various LLM Services & Providers (16 hours)
    • Google Cloud Platform
    • OpenAI
    • Amazon Web Services
    • Huggingface (Opensource LLMs)
    • Ollama (Localhost LLMs)
    • Grok 2 – X.Ai (Chat)
  4. Prompt Engineering (10 hours)
    • Fundamentals of Prompt Engineering
    • Core Concepts and Syntax
    • Crafting Prompts: Core Techniques
    • Optimization Strategies
  5. Python for Generative AI (12 hours)
    • Fundamentals of Python for AI
    • Python Essentials for AI Development
    • Natural Language Processing with Python
    • Generating Images with Python
  6. LLM application frameworks (10 hours)
    • Lang Chain
    • Llama Index
  7. Industry wide Use Cases (33 hours)
    • Text Generation
    • Text Classification and Understanding
    • Language Translation, Summarization, and Conversational Agents
    • Code Understanding and Generation
    • Information Retrieval and Search
    • Conversational AI and Dialogue Systems
    • Personalization and Recommendation Systems
    • Knowledge Management and Data Mining
    • Creative Content Creation
    • Data Augmentation and Synthetic Data Generation
  8. Retrieval-Augmented Generation (RAG) (11 hours)
    • RAG Explained
    • Building a RAG setup
    • RAG advantages
    • Rag use cases
    • Hands on activities
  9. Prompt Engineering vs RAG vs Fine-Tuning (1 hours)
  10. Safe GenAI (1 hours)
  11. Capstone Project (20 hours)

Gen AI Program – FAQ’s

  1. What is Generative AI, and how is it different from traditional AI?
    Generative AI focuses on creating new content, such as text, images, and music, using AI models.Unlike traditional AI, which focuses on pattern recognition and decision-making, Generative AI is
    designed to generate original content that mimics real-world data.
  2. What will I learn in the Generative AI training program?
    The program covers key concepts of Generative AI, including AI fundamentals, generative models,text and image generation, and practical applications. You will learn to use tools and frameworks to
    build models capable of creating new content and transforming various industries.
  3. Do I need a background in AI or programming to join this course?
    While a basic understanding of AI or programming is helpful, it is not mandatory. The course starts with foundational concepts and gradually progresses to more advanced topics. We ensure that
    beginners can keep up while also providing deeper insights for those with experience.
  4. Is there any mentorship or support during the course?
    Yes, you will have access to expert instructors and a support team throughout the course. We offer live Q&A sessions, discussion boards, and one-on-one mentorship to ensure you get the help you
    need with your learning and projects.
  5. What kind of projects will I work on during the course?
    You will work on hands-on projects such as generating text using AI, creating AI-generated art, and building applications that utilize generative models. These projects are designed to simulate real-
    world use cases of Generative AI across different industries.
  6. What certification will I receive after completing the Generative AI program?
    Upon successful completion, you will receive a Generative AI Program Certification, which validates your expertise in this specialized area of AI. This certification is highly regarded by employers seeking professionals skilled in emerging AI technologies.
  7. How can this Generative AI certification benefit my career?
    Generative AI is rapidly growing in fields like entertainment, design, marketing, and automation. This certification will position you as an expert in a niche field of AI, helping you stand out to employers who are looking for innovative professionals capable of implementing AI-driven solutions.
  8. What tools and technologies will I learn during the program?
    You will gain hands-on experience with key AI tools and technologies, including frameworks like TensorFlow and PyTorch, as well as tools for generating text (like GPT-based models) and images.
    You’ll also explore cloud-based AI services that support generative tasks.
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