Dive into Appian, Mendix, OutSystems, UiPath, and Automation Anywhere for hands-on expertise.
Embark on a transformative journey with our Intelligent Automation through Low-Code Program, meticulously designed for new hires. Seamlessly blending core AI concepts with cutting-edge technologies, this program ensures a comprehensive understanding of key concepts.
- Technology Focus:
- AI fundamentals, Machine Learning concepts, Master advanced techniques like generative AI using Python, TensorFlow, and other leading frameworks, Explore complexities of large language models (LLMs) such as GPT-3 and Git Co-Pilot.
- Use Cases Covered:
- Implement NLP for sentiment analysis and text classification.
- Integrate machine learning models for predictive analytics.
- Develop computer vision solutions for image recognition and object detection.
- Address challenges in AI-driven product development with a focus on scalability.
- Deploy and scale AI models on major cloud platforms (AWS, Azure, or Google Cloud).
- Navigate ethical considerations in AI development, including bias mitigation.
About the program
Embark on a tech revolution with our 12-week Low-Code & Intelligent Automation Program, meticulously crafted for all levels. While prior coding experience is valuable, our beginner-friendly approach welcomes all.
Explore key tools such as Appian, Mendix, and OutSystems for low-code mastery. Delve into RPA using UiPath and Automation Anywhere, while also unraveling the potential of Generative AI with GPT-3. Master Python, TensorFlow, and cloud deployment on AWS, Azure, or Google Cloud.
Introduce this program to your teams for a transformative experience in low-code mastery and intelligent automation.
Modules mapped to business outcomes
Week 1-2
Introduction to Low-Code Development
- Exploration of key low-code platforms: Appian, Mendix, and OutSystems.
- Hands-on exercises for basic application development in each platform.
- Introduction to the low-code development landscape.
- Understanding the importance of low-code in digital transformation.
- Overview of real-world applications and success stories.
Week 3-4
Advanced Low-Code Techniques
- Deep dive preferred low-code platform: Appian, Mendix, and OutSystems.
- Advanced data modeling, integration, and UI/UX design principles.
- Best practices for optimizing performance and scalability.
- Exploration of low-code features for complex business logic.
- Collaborative projects
Week 5-6
Intelligent Automation with UiPath and Automation Anywhere
- Introduction to Robotic Process Automation (RPA) and its significance.
- Hands-on experience building automation workflows using UiPath.
- Transition to Automation Anywhere
- Advanced RPA concepts, including error handling and exception management.
- Integration of low-code applications with RPA for end-to-end automation.
Week 7-8
Integration of Low-Code and Intelligent Automation
- Strategies for effective integration of low-code and RPA solutions.
- Building comprehensive automation solutions for real-world use cases.
- Continuous improvement and iteration based on user feedback.
- Collaborative development methodologies for integrated projects.
- Version control and deployment strategies for combined solutions.
- Addressing challenges and roadblocks in integrated development
Week 9-10
Gen AI and Advanced Techniques
- Hands-on experience with GPT-3 and other Gen AI tools.
- Exploring use cases where Generative AI can enhance business solutions.
- Ethical considerations and best practices in using Generative AI.
- Integration of Generative AI with low-code and automation.
- Group projects to apply Generative AI in creative business solutions.
Week 11 -12
- Teams work on significant projects integrating low-code, RPA, and Generative AI.
- Implementing cloud deployment strategies on AWS, Azure, or Google Cloud.
- Final presentations and demonstrations of capstone projects.
- Guidance on industry certifications and further skill development
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Skilling Journey Note
Commencing with fundamental AI principles, participants navigate the intricacies of the Software Development Life Cycle (SDLC), Agile methodologies, and a thorough exploration of AI and machine learning basics. The journey progresses systematically through core machine learning concepts, advanced deep learning, generative AI, and large language models (LLMs). Engaging in hands-on projects, assessments, and a culminating Capstone Project, participants not only grasp theoretical concepts but also cultivate practical expertise.
Modular learning, Focused skilling
Instructor led Training
Cohort Based Skilling
Virtual Labs and Projects
Immerse yourself in hands-on learning with our Intelligent Automation with Low-Code Program through Virtual Labs and Projects. Dive into over 4 robust projects and actively participate in 11 immersive labs that span various domains. From experimenting with Generative Adversarial Networks (GANs) to fine-tuning large language models (LLMs), these practical experiences ensure a comprehensive understanding of AI concepts.
Capstone Project
Effortlessly intertwining front-end and back-end technologies, our Intelligent Automation with Low-Code Program delves into the intricacies of cloud deployment. Participants will apply advanced AI principles to craft a sophisticated chat system, offering a hands-on experience that develops proficiency in real-world applications.