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ML, AI, Generative AI Prompt Engineering Corporate Training

Master the future of technology with Multisoft Virtual Academy’s ML, AI & Generative AI Prompt Engineering Corporate Training. Designed for corporate teams, this hands-on program empowers professionals with in-demand skills in machine learning, artificial intelligence, and prompt engineering. Learn from industry experts through live sessions, real-world projects, and flexible online modules. Elevate your team's innovation potential and drive digital transformation in your organization tod

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ML, AI, Generative AI Prompt Engineering Corporate Training

Curriculum Designed by Experts

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Multisoft Virtual Academy offers an advanced ML, AI, and Generative AI Prompt Engineering Corporate Training program tailored for organizations aiming to future-proof their workforce. This course is designed to equip professionals with essential knowledge of Machine Learning algorithms, AI frameworks, and the art of crafting effective prompts for generative AI tools like ChatGPT. Through interactive sessions, real-time case studies, and expert mentoring, your team will gain practical skills to implement AI-driven solutions across industries. Upskill your employees with cutting-edge AI expertise and stay ahead in the competitive digital landscape.

ML, AI, Generative AI Prompt Engineering Training is a specialized course that teaches participants how to design effective prompts for AI models. It covers the fundamentals of Machine Learning, Artificial Intelligence, and Generative AI, enabling learners to guide model outputs, optimize interactions, and apply prompt strategies across real-world applications like content creation, automation, chatbots, and intelligent decision-making.

  • AI Vs ML Vs DL Vs DS
  • Types Of ML Techniques
  • Supervised vs unsupervised and semi supervised and reinforcement learning
  • Introduction to Artificial Intelligence
  • Applications of Artificial Intelligence o AI Project Life Cycle
  • AI Domains and Models o AI Ethics and Bias
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  • Introduction to Machine Learning
  • Data Processing for Machine Learning
  • Algorithms for Machine Learning
  • Supervised (Regression and Classification) o Linear Regression
  • Logistic Regression o kNN
  • Decision Tree and Random Forest o Support Vector Machines
  • Naive Bayes
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  • Unsupervised (Clustering, Dimensionality Reduction) o K Means Clustering
  • Hierarchical Clustering
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  • Case Study
  • Deep Learning Overview
  • The Brain vs Neuron
  • Introduction to Deep Learning
  • Introduction to Artificial Neural Networks
  • The Detailed ANN
  • The Activation Functions
  • How do ANNs work & learn?
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  • Convolutional Operation
  • Relu Layers
  • What is Pooling vs Flattening?
  • Full Connection
  • SoftMax vs Cross Entropy
  • Building a real world convolutional neural network for image classification
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  • Recurrent neural networks rnn
  • LSTMs understanding LSTMs
  • Long short-term memory neural networks lstm in python
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  • Restricted Boltzmann Machine
  • Applications of RBM
  • Introduction to Autoencoders
  • Autoencoders applications
  • Understanding Autoencoders
  • Building a Autoencoder model
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  • Introducing Tensorflow
  • Introducing Tensorflow
  • Why Tensorflow?
  • What is TensorFlow?
  • Tensorflow as an Interface
  • Tensorflow as an environment
  • Tensors
  • Computation Graph
  • Installing Tensorflow
  • Tensorflow training
  • Prepare Data
  • Tensor types
  • Loss and Optimization
  • Running TensorFlow programs
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  • Tensors
  • Tensorflow data types
  • CPU vs GPU vs TPU
  • Tensorflow methods
  • Introduction to Neural Networks
  • Neural Network Architecture
  • Linear Regression example revisited
  • The Neuron
  • Neural Network Layers
  • The MNIST Dataset
  • Coding MNIST NN
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  • Deepening the network
  • Images and Pixels
  • How humans recognise images?
  • Convolutional Neural Networks
  • ConvNet Architecture
  • Overfitting and Regularization
  • Max Pooling and ReLU activations
  • Dropout
  • Strides and Zero Padding
  • Coding Deep ConvNets demo
  • Debugging Neural Networks
  • Visualising NN using Tensorflow
  • Tensorboard
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  • What is Generative AI?
  • Why are Generative models required?
  • Understanding generative models and their significance
  • Generative AI v/s Discriminative Models
  • Recent advancements and research in generative AI
  • Generative AI end to end project lifecycle
  • Key applications of generative models
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  • Introduction to OpenAI
  • What is OpenAI API and how to generate OpenAI API key?
  • Installation of OpenAI package
  • Experiment in the OpenAI playground
  • How to setup your local development environment?
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  • Customising Prompts for Specific Use Cases
  • Fine-tuning Language Models for Optimal Output
  • Managing Prompt Complexity and Length
  • Enhancing Control and Diversity in Generated Text
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  • Importance of Interpretability in AI-Generated Outputs
  • Techniques for Visualising and Understanding Model Responses
  • Explainable AI in Prompt Engineering
  • Addressing Bias and Fairness in AI-Generated Text
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  • Industry-Specific Applications of Generative AI
  • Real-world Examples of Prompt Engineering Success Stories
  • Identifying Opportunities for AI-Prompt Integration
  • Challenges and Limitations in Deploying Generative AI Solutions
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  • Testing and Quality Control for AI-Generated Text
  • Human-in-the-Loop Approaches to Validation
  • Compliance and Regulatory Considerations
  • Benchmarking and Performance Metrics for Prompted AI Models
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  • Introduction to LlamaIndex
  • Difference between laingchain and LlamaIndex
  • Difference between Llama and LlamaIndex
  • Setup of LlamaIndex in our local env
  • How to use LLMs with LlamaIndex?
  • Exploring Llamahub
  • How to connect with external Data?
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Project#1: Loan Defaulter Prediction

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Project#1: Medical Chatbot Project with Llama 2, Pinecone, Lang Chain & Deployment AWS

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  • Project#2: Source Code Analysis with Lang Chain, OpenAI and Chroma DB & Deployment AWS
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Skilled professionals with relevant industry experience

Customized trainings to understand specific project requirements

Check performance progress and identify areas for development

Free ML, AI, Generative AI Prompt Engineering Corporate Training Assessment

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ML, AI, Generative AI Prompt Engineering Corporate Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Frequently Asked Questions

Corporate training refers to a system of professional development activities provided to educate employees. The primary goal of corporate training is to enhance the skills, knowledge, and effectiveness of individuals and teams to boost overall business performance and efficiency.

Available programs include leadership training, technical skills development, soft skills enhancement, compliance, diversity and inclusion workshops, and role-specific certifications. These programs are tailored to industry needs and can address areas such as project management, communication, data analysis, and IT tools for professional and organizational growth.

Our training sessions can be delivered in various formats including online, in-person, and hybrid models. We utilize the latest technology to provide interactive webinars, virtual classrooms, and on-demand courses, as well as traditional face-to-face workshops.

Training customization begins with assessing business objectives, skill gaps, and workforce requirements. Programs are then designed to address these needs, integrating industry-specific content, hands-on learning, and relevant case studies. Customization ensures that training aligns with company goals and delivers measurable outcomes.

Sessions are led by experienced professionals, certified trainers, and subject matter experts with in-depth industry knowledge. Trainers use interactive methods, real-world examples, and hands-on activities to deliver engaging and impactful learning experiences tailored to participant needs.

We cater to industries like IT, healthcare, manufacturing, retail, finance, hospitality, and education. Our programs are tailored to meet the unique needs of these sectors, ensuring relevance and effectiveness for diverse organizational goals and workforce requirements.

Yes, participants receive certificates upon successfully completing our training programs. These certificates serve as recognition of the skills and knowledge gained during the training.

Registration can be completed online through our website. You can also contact our customer service team for assistance with registration and to discuss any specific training requirements or scheduling preferences. To contact Multisoft Systems you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number+91 8130666206

We offer both group and individual training sessions. Individual training can be tailored specifically to a person’s role within the company, focusing on their particular development needs.

We understand that business needs can change, so we offer flexible scheduling options. If you need to reschedule a training session, we will work with you to find a new date that suits your team’s availability without additional rescheduling fees.

For any specific inquiries or detailed information about our training programs, you can contact our dedicated customer service team or training coordinators via phone (+91 8130666206), email (enquiry@multisoftvirtualacademy.com), or through our website’s contact form.

Corporate training improves employee productivity, fosters innovation, enhances job satisfaction, and ensures alignment with the company’s strategic objectives. It also helps organizations stay competitive in a rapidly changing business environment.

Absolutely. We provide remote training options that allow employees from different locations to join sessions simultaneously, promoting a unified learning experience.

Yes, many of our training programs focus on teamwork, communication, and collaboration, enhancing employees’ ability to work together effectively.

We prioritize flexibility to meet your needs, so there is no minimum team size required to start corporate training at Multisoft Systems. Whether you have a single participant or a large team, we offer tailored training solutions with all program inclusions to ensure a comprehensive learning experience.

Live virtual classrooms at Multisoft Systems are real-time, instructor-led online sessions designed to provide an interactive and engaging learning experience. Participants can interact with instructors and peers, just like in a physical classroom.

Blended learning at Multisoft Systems combines online and instructor-led training to deliver a personalized, flexible, and engaging education experience. Using tools like videos, apps, and hands-on projects, learners can study at their own pace, anytime and anywhere. This hybrid model enhances understanding, skill retention, and satisfaction, making it ideal for professionals seeking a stress-free learning approach.

Training session durations vary depending on the topic and depth. Programs can range from one-day workshops to multi-week courses. Specific timelines are customized to meet organizational schedules and learning objectives while ensuring thorough knowledge transfer.

Effectiveness is measured using pre- and post-training assessments, participant feedback, performance evaluations, and business impact analysis. These methods help track knowledge retention, skill improvement, and the practical application of training outcomes.
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