Online Certificate Course on Generative AI for Business Leaders

Online Certificate Course on Generative AI for Business Leaders

Online Certificate Course on Generative AI for Business Leaders

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How Generative AI is changing our workflows. Discuss the practical, effective, and ethical implementation of AI as a solution to perennial workflow headaches.

In this course, we’ll delve into the fascinating world of Generative AI and explore various areas that everyone should explore. Here’s a glimpse of what we’ll cover:

· AI Model Diversity

· Content-Focused Use Cases

· Practical Workflow Implementation

· Results and Scoring Models

· Ethical and Responsible AI and much more…


  1. Data collection: Gather a large dataset of text from various sources. This can include books, articles, websites, or any other relevant text corpus. Ensure that the dataset is diverse and representative of the type of text you want the model to generate.
  2. Data preprocessing: Clean and preprocess the collected data. This may involve removing special characters, converting text to lowercase, splitting text into sentences or paragraphs, and removing any irrelevant or duplicate data.
  3. Model selection: Choose a generative AI model suitable for text generation. OpenAI’s GPT-3 or GPT-2 models are powerful choices for this task. Alternatively, you can explore other models such as LSTM (Long Short-Term Memory) or Transformer models.
  4. Model training: Train the selected model using your preprocessed dataset. This typically involves feeding the model input sequences and training it to predict the next word or sentence based on the context provided. The model’s parameters are adjusted through backpropagation and optimization algorithms like gradient descent.
  5. Hyperparameter tuning: Experiment with different hyperparameters of the model, such as learning rate, batch size, or sequence length, to optimize the training process. This can be done through trial and error or using more sophisticated techniques like grid search or Bayesian optimization.
  6. Model evaluation: Assess the performance of the trained model. This can be done by generating text samples and evaluating them for coherence, fluency, and relevance to the given context. Human evaluation or automated metrics like perplexity can be used to measure the quality of generated text.
  7. Iterative refinement: Based on the evaluation results, refine your model and training process. You can try different architectures, increase the amount of training data, or adjust hyperparameters to improve the quality of generated text.
  8. Deployment: Once you are satisfied with the performance of your model, you can deploy it to generate text in real-time. You can integrate it into applications, chatbots, or any other system where text generation is required.

Speaker Profile: Dr. Manish Kumar Jain

· International Corporate Trainer

· Technical Consultant

· Data Scientist

· IOT Solution Architect

· Block chain Architect


· PhD – Deep/Machine Learning

· MCA – Computer Application

· MTech – Data Science



· Certified Associate Data Center Virtualization

· Cloudera Hadoop Developer and Admin

· Certified Ethical Hacker

· EC-Council’s  Certified  Security  Analyst

· Adobe Certified Expert

· OCJP Certified

· Black belt six sigma  certification

· AWS Certified  SysOps Admin –  Associate

· AWS Certified Big Data – Specialty

· EXIN Cloud Computing  Foundation, BCS  SIAM

· DCA – Docker  Certified Associate

· CKA – Certified Kubernetes   Administrator

· CJE – Certified  Jenkins Engineer

· Certified Block  chain Expert

Technical Expertise

Internet of Things (IOT), Blockchain, Artificial intelligence (Al), Big Data , Industry 4.0, Machine Learning, Cloud Computing, Hadoop, Data Science, Deep Learning, RPA, DevOps, AR/VR/ MR, ThingWorx, Business Intelligence, ETL Tools, Full stack and Mean stack

Countries Visited for trainings and consulting.

Dubai, Oman, Tanzania, Thailand, UK, USA, Singapore, South Africa, Bhutan, Indonesia, Philippine, Malaysia, Australia, Kenya, Bahrain, Saudi Arabia, Kuwait, Qatar, Nepal, China, Bangladesh

Domain Expertise

Aerospace, Retail, Logistics, Energy, Banking, Telecom, Healthcare, Manufacturing, Education, Oil and Gas, Financial services

Professional Highlights

· 18+ years of Industry Experience as an International Corporate Trainer and Technical consultant.

· Subject Matter Expert for Microsoft, IBM, Hitachi and Micro focus educational programs.

· Created own cryptocurrency and crypto wallet called “Samriddhi Mudra”

· Sr. Consultant for “Smart City” implementation project from Gov. of India (IOT Consultant).

· Member of “Technical Interview” panel team for Major Indian and overseas MNC’s.

· Member of Prestigious Institute for Designing the course content for emerging technologies.

· Taught 10000+ Academic & Industrial Trainees.

Who should attend:

Business leaders, managers, entrepreneurs, sales and marketing professionals. Whether you’re new to AI or looking to deepen your understanding, our course caters to diverse backgrounds and skill levels.

Participation Fee :

Members Rs. 8,000 + 18% GST
Non-Members Rs. 9,000 + 18% GST
Bank Details for NEFT
Account No. 10996680930
Bank Name State Bank of India
Branch Address Mumbai Main Branch

Cheque /Demand Draft should be drawn in favor of “BOMBAY CHAMBER OF COMMERCE AND INDUSTRY”

Participation only through advance registration(Batch size 20 participants only)

Kindly mail your registration (Name, Cell no, Email Id and GST No) on Contact Details

Contact Details :

Revati Khare || Assistant Director – Information and Communication Technology Committee
Email :
Tel. (D) + 91 22 6120 0231; (M) + 91 9892029473

Additional Details

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Event Fees Type - Paid Event

Event or Seminar - Training

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Date And Time

October 18, 2023 11:00 AM to
October 19, 2023 05:00 PM


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