Generative AI Training Course With Placement Support

Learn Generative AI & Machine Learning from scratch. Our course suits for aspiring individuals who are looking for a career in artificial intelligence, machine learning, algorithms..

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Are you ready to be a Generative AI Expert?

Artificial Intelligence (AI) is a rapidly evolving interdisciplinary field that aims to create intelligent systems capable of mimicking human cognition. These systems learn from data, adapt to new information, and make decisions autonomously. AI encompasses a wide range of techniques, algorithms, and applications, making it a cornerstone of modern technology. Machine learning, a subset of AI, focuses on developing algorithms that allow computers to learn patterns from data without being explicitly programmed. From self-driving cars to personalized recommendations on streaming platforms, AI impacts our daily lives in profound ways.

Octovion offers a comprehensive curriculum exploring topics such as machine learning, natural language processing, computer vision, and robotics. We provide an enriching learning experience with Gen AI & ML boot camps, real-world projects and guidance led by AI experts.

Our Gen AI course is ideal for beginners seeking a comprehensive introduction to artificial intelligence at the affordable cost. It covers basic concepts of aritificial intelligence, machine learning, and python programming, equipping you with the skills to develop and utilize these powerful technologies. We also provide advanced AI course ideal for individual who wants to become an expert in the field of AI & ML.

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Generative Artificial Intelligence Training Course Contents

Gen AI Online Training
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Eligibility and Pre-requisites

The Gen AI course is designed to accommodate individuals with varying levels of programming experience. This course is ideal for individuals with no prior experience in AI, machine learning or python but with an interest in exploring these fields. Our course caters to absolute beginners with a little programming background, while having a basic understanding of programming concepts is beneficial but not mandatory. The course starts from introducing aritificial intelligence concepts and gradually building up to more advanced topics.

Gen AI Training Key Features

  • Instructor-Led Online Training

    We provide our students with instructor-led online training to ensure learners receive guidance and support from AI experts. This interactive learning environment allows for immediate clarification of doubts and a deeper understanding of artificial intelligence concepts.

  • Lifetime Access to Self-Paced Learning

    Octovion offers lifetime access to self-paced learning materials, ensuring students can revisit and reinforce their programming skills whenever needed. This flexibility accommodates different learning styles and schedules, enabling individuals to learn independently.

  • Implementation of Real-Time Projects

    We strongly emphasize real-time project implementation that ensures learners can apply their generative AI knowledge to practical scenarios. Working on real projects helps students gain confidence and problem-solving abilities and better understand on how artificial intelligence is used in real-world applications.

  • Case Studies and Boot Camps

    We offers case studies and bootcamps to analyze and solve complex problems using AI. These exercises simulate real-world scenarios and provide invaluable experience applying AI concepts to practical situations.

  • Certification Assistance

    We also offer certification assistance to help students validate their skills. This support can include guidance on exam preparation, practice tests, and resources to ensure students are well-prepared for certification exams.

  • Marketing and Boosting Resumes to Prospective Employers

    As a reputable AI & ML training provider, we understand the importance of assisting students in marketing themselves effectively to prospective employers. We guide crafting resumes highlighting Gen AI skills and showcasing the projects completed during the training.

  • Placement Support

    We offer placement support to students after completing Gen AI training with us to help them kickstart their careers in Artificial Intelligence development. This is one of a kind that students need to get elsewhere. With practical application opportunities and ongoing support, we ensure students can maximize their potential and enhance their proficiency in Gen AI.

  • Post-training Support

    We also offer post-training support for up to 6 months to demonstrate our commitment to student success beyond completing the course. This support can include access to discussion forums, training, mentorship programs, or assistance with specific queries or challenges that arise during the job.

Modules covered under Gen AI training course

  • Foundations of AI and ML
    • Understand the fundamental concepts of AI, ML, and their applications.
    • Explore supervised and unsupervised learning paradigms.
  • Python Programming for ML
    • Introduction to Python: data types, variables, operators, control flow statements, functions.
    • Working with libraries: NumPy, Pandas, Matplotlib (essential libraries for machine learning and data science)
    • Hands-on coding exercises to solidify understanding.
  • Machine Learning Fundamentals
    • The Machine Learning workflow: data collection, pre-processing, model training, evaluation
    • Supervised Learning algorithms: linear regression, decision trees, K-Nearest Neighbors (KNN)
    • Unsupervised Learning algorithms: K-means clustering, Principal Component Analysis (PCA)
    • Introduction to Deep Learning concepts: artificial neural networks
  • Generative AI Techniques
    • Explore the concept of generative AI and its various applications in text generation, image creation, and music composition.
    • Understand Generative Adversarial Networks (GANs) as the foundation of many generative AI models.
    • Implement a simple Generative AI model using frameworks like TensorFlow or PyTorch to generate creative text or images.
    • Discuss the potential biases and ethical implications of using generative AI models.
  • Deep Learning and Neural Networks:
    • Dive into deep learning with neural networks.
    • Explore architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • Natural Language Processing (NLP):
    • Discover NLP techniques for text analysis, sentiment analysis, and language modeling.
    • Implement tokenization, word embeddings, and more.
  • Ethical Considerations:
    • Address ethical challenges in AI, bias mitigation, and fairness.
    • Promote responsible AI practices.
  • Hands-On Projects:
    • Apply knowledge through practical projects, such as image classification or chatbot development.

The curriculum may vary depending on the course level (beginner, intermediate, or advanced) and the specific learning objectives of the course.

Gen AI Course FAQ's

  • 1. Is programming knowledge necessary for Gen AI training?

    Our course caters to absolute beginners with a little programming background, while having a basic understanding of programming concepts is beneficial but not mandatory.

  • 2. Who can opt for Gen AI Course?

    Gen AI training is suitable for many individuals who want to seek a comprehensive introduction to artificial intelligence. Beginners, aspiring Python developers, IT professionals looking for a change, learners of GC, H4, OPT, and F1, data scientists and analysts, web developers, researchers, and academics.

  • 3. Why choose a career in Generative AI?

    Artificial Intelligence is a rapidly evolving field that aims to create intelligent systems capable of mimicking human cognition. AI encompasses a wide range of techniques, algorithms, and applications, making it a cornerstone of modern technology. Gen AI offers a wide range of job roles and diverse career options with growth potential.

  • 4. What are the job options after completing Gen AI training?

    Completing a Gen AI training course opens up various programming and algorithm development job opportunities. Some job options are Python Developer, Data Analyst, Machine Learning Engineer etc.

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