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Gen AI (Artificial intelligence) course

16 Weeks
All levels
0 lessons
0 quizzes
0 students

Unlock Your Potential in Data Science & AI – A Course for Visionaries and Aspiring Professionals

  • AI & Data Core: Build essential knowledge for IT and business success.
  • Python for Data Analysis: Master the language of data.
  • Data Transformation & Visualization: Clean, transform, and visualize like a pro.
  • Cloud AI/ML Tools: Hands-on with Azure, AWS, and GCP.
  • Large Language Models (LLMs): Learn prompt engineering and cutting-edge AI.
  • Machine Learning Techniques: Supervised, unsupervised, and feature engineering.
  • Model Deployment: Launch and evaluate models in the cloud.
  • Real-World Practice: Labs, projects, and assessments included.

 Course Duration:

  • Weekend Classes: 3 hours/day for up to 16 weeks.
  • Weekday Classes: 90 minutes/day, Monday to Friday, for up to 60 days.

Become an expert in just a few weeks and unlock incredible job opportunities!

Internship Program (Additional Cost):
Participants can opt for an internship program to work on real-time
projects in the AI domain. This internship will provide hands-on experience,
where they will:

  • Collaborate with industry experts on live AI projects.
  • Gain valuable insights and practical knowledge of AI technologies in a
    professional environment.
  • Be awarded a certificate upon successful completion of the
    internship, adding significant value to their resume and career
    prospects.

Curriculum

  • 7 Sections
  • 0 Lessons
  • 16 Weeks
Expanse all sectionsCollapse all sections
  • Foundations of AI Development
    Learn Python programming, version control (Git), and AI tools like Jupyter Notebook and VS Code.
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    • Data Handling and Preprocessing
      Master data cleaning, normalization, and visualization with libraries like Matplotlib and Seaborn.
      0
      • Machine Learning
        Understand supervised and unsupervised learning, algorithms, and model deployment using Flask APIs.
        0
        • Deep Learning
          Explore neural networks and applications like image classification, NLP, and object detection.
          0
          • Generative AI
            Learn to build AI-powered tools using GPT models, DALL·E, and other advanced AI frameworks.
            0
            • AI Development Workflow (MLOps)
              Implement AI pipelines with Docker, Kubernetes, and CI/CD workflows for scalable AI deployment.
              0
              • Real-World AI Applications
                Build practical projects like chatbots, stock price predictors, and recommendation systems.
                0
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                TRAIN2PRO

                Training and Placement We at Train2Pro are proficient to train engineers and other graduates to qualify them to seek employment with the corporates, apart from the following sectors:Airline Industry Construction Industry Computer Industry Communications Industry Electronics Industry Electrical Industry Mechanical Industry Automobile Industry Healthcare Industry Nursing Profession Education Field Training & other non-IT sectorsWe also enable working professionals to climb-up the corporate ladder by imparting specialised training to them, thereby upgrading their skills.` In addition to training, we offer placement services to freshers who are trained, and are only seeking our services to get employed meaningfully. And also to those experienced professionals who seek better opportunities.
                Course Duration:Weekdays: 90 mins/day, Mon–Fri, for 45-60 days. Weekends: 3 hrs/day, for 12-16 weeks.

                Features

                • AI in Business: Learn how AI drives growth and innovation.
                • AI Tools & Marketing: Enhance customer service and marketing strategies.
                • Ethics & Privacy: Build responsible, secure AI systems.
                • Implement AI: Step-by-step guide to integrating AI into your business.

                Target audiences

                • AI for Technical Professionals
                • AI for Non IT Professionals
                • Graduates
                • Freshers

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